-**Supertonic** is a lightning-fast, on-device text-to-speech system designed for **extreme performance** with minimal computational overhead. Powered by ONNX Runtime, it runs entirely on your deviceโno cloud, no API calls, no privacy concerns.
+**Supertonic** is a lightning-fast, on-device text-to-speech system designed for local inference with minimal overhead. Powered by ONNX Runtime, it runs entirely on your deviceโno cloud, no API calls, no privacy concerns.
### ๐ฐ Update News
+- **2026.04.29** - ๐ **Supertonic 3** released with **31-language support**, improved reading accuracy, fewer repeat/skip failures, and v2-compatible public ONNX assets. [Demo](https://huggingface.co/spaces/Supertone/supertonic-3) | [Models](https://huggingface.co/Supertone/supertonic-3)
- **2026.01.22** - **[Voice Builder](https://supertonic.supertone.ai/voice_builder)** is now live! Turn your voice into a deployable, edge-native TTS with permanent ownership.
-
-
-
-
-
-- **2026.01.06** - ๐ **Supertonic 2** released with multilingual support! Now supports English (`en`), Korean (`ko`), Spanish (`es`), Portuguese (`pt`), and French (`fr`). [Demo](https://huggingface.co/spaces/Supertone/supertonic-2) | [Models](https://huggingface.co/Supertone/supertonic-2)
+- **2026.01.06** - ๐ **Supertonic 2** released with 5-language support. The v2 code path is preserved on the [`release/supertonic-2`](https://github.com/supertone-inc/supertonic/tree/release/supertonic-2) branch.
- **2025.12.10** - Added `supertonic` PyPI package! Install via `pip install supertonic`. For details, visit [supertonic-py documentation](https://supertone-inc.github.io/supertonic-py)
- **2025.12.10** - Added [6 new voice styles](https://huggingface.co/Supertone/supertonic/tree/b10dbaf18b316159be75b34d24f740008fddd381) (M3, M4, M5, F3, F4, F5). See [Voices](https://supertone-inc.github.io/supertonic-py/voices/) for details
- **2025.12.08** - Optimized ONNX models via [OnnxSlim](https://github.com/inisis/OnnxSlim) now available on [Hugging Face Models](https://huggingface.co/Supertone/supertonic)
- **2025.11.24** - Added Flutter SDK support with macOS compatibility
-### Table of Contents
+## Quick Start
-- [Demo](#demo)
-- [Why Supertonic?](#why-supertonic)
-- [Language Support](#language-support)
-- [Getting Started](#getting-started)
-- [Performance](#performance)
-- [Built with Supertonic](#built-with-supertonic)
-- [Citation](#citation)
-- [License](#license)
+Install the Python SDK and generate speech immediately. On the first run, Supertonic downloads the model assets from Hugging Face automatically.
-## Demo
+```bash
+pip install supertonic
+```
-### Raspberry Pi
+### Python
-Watch Supertonic running on a **Raspberry Pi**, demonstrating on-device, real-time text-to-speech synthesis:
+```python
+from supertonic import TTS
-https://github.com/user-attachments/assets/ea66f6d6-7bc5-4308-8a88-1ce3e07400d2
+# First run downloads the model from Hugging Face automatically.
+tts = TTS(auto_download=True)
-### E-Reader
+style = tts.get_voice_style(voice_name="M1")
-Experience Supertonic on an **Onyx Boox Go 6** e-reader in airplane mode, achieving an average RTF of 0.3ร with zero network dependency:
+text = "A gentle breeze moved through the open window while everyone listened to the story."
+wav, duration = tts.synthesize(text, voice_style=style, lang="en")
-https://github.com/user-attachments/assets/64980e58-ad91-423a-9623-78c2ffc13680
-
-### Chrome Extension
-
-Turns any webpage into audio in under one second, delivering lightning-fast, on-device text-to-speech with zero network dependencyโfree, private, and effortless:
-
-https://github.com/user-attachments/assets/cc8a45fc-5c3e-4b2c-8439-a14c3d00d91c
-
----
-
-> ๐ง **Try it now**: Experience Supertonic in your browser with our [**Interactive Demo**](https://huggingface.co/spaces/Supertone/supertonic-2), or get started with pre-trained models from [**Hugging Face Hub**](https://huggingface.co/Supertone/supertonic-2)
-
-## Why Supertonic?
-
-- **โก Blazingly Fast**: Generates speech up to **167ร faster than real-time** on consumer hardware (M4 Pro)โunmatched by any other TTS system
-- **๐ชถ Ultra Lightweight**: Only **66M parameters**, optimized for efficient on-device performance with minimal footprint
-- **๐ฑ On-Device Capable**: **Complete privacy** and **zero latency**โall processing happens locally on your device
-- **๐จ Natural Text Handling**: Seamlessly processes numbers, dates, currency, abbreviations, and complex expressions without pre-processing
-- **โ๏ธ Highly Configurable**: Adjust inference steps, batch processing, and other parameters to match your specific needs
-- **๐งฉ Flexible Deployment**: Deploy seamlessly across servers, browsers, and edge devices with multiple runtime backends.
-
-## Language Support
-
-We provide ready-to-use TTS inference examples across multiple ecosystems:
-
-| Language/Platform | Path | Description |
-|-------------------|------|-------------|
-| [**Python**](py/) | `py/` | ONNX Runtime inference |
-| [**Node.js**](nodejs/) | `nodejs/` | Server-side JavaScript |
-| [**Browser**](web/) | `web/` | WebGPU/WASM inference |
-| [**Java**](java/) | `java/` | Cross-platform JVM |
-| [**C++**](cpp/) | `cpp/` | High-performance C++ |
-| [**C#**](csharp/) | `csharp/` | .NET ecosystem |
-| [**Go**](go/) | `go/` | Go implementation |
-| [**Swift**](swift/) | `swift/` | macOS applications |
-| [**iOS**](ios/) | `ios/` | Native iOS apps |
-| [**Rust**](rust/) | `rust/` | Memory-safe systems |
-| [**Flutter**](flutter/) | `flutter/` | Cross-platform apps |
-
-> For detailed usage instructions, please refer to the README.md in each language directory.
+tts.save_audio(wav, "output.wav")
+print(f"Generated {duration:.2f}s of audio")
+```
## Getting Started
@@ -107,18 +65,30 @@ Before running the examples, download the ONNX models and preset voices, and pla
> - Generic: see `https://git-lfs.com` for installers
```bash
-git clone https://huggingface.co/Supertone/supertonic-2 assets
+git lfs install
+git clone https://huggingface.co/Supertone/supertonic-3 assets
```
-### Quick Start
+Some language examples need native runtimes:
+- **Go**: install the ONNX Runtime C library. On macOS, `brew install onnxruntime` is enough; the Go example auto-detects Homebrew paths.
+- **Java**: use a JDK, not just a JRE. On macOS, `brew install openjdk@17` works.
+- **C#**: targets .NET 9 and allows major-version roll-forward, so .NET 9 or newer runtimes can run it.
+
+Then run the Python example:
-**Python Example** ([Details](py/))
```bash
cd py
uv sync
uv run example_onnx.py
```
+This generates `outputs/output.wav` using the default preset voice.
+
+### Other Runtime Examples
+
+
+Run Supertonic in other languages and platforms
+
**Node.js Example** ([Details](nodejs/))
```bash
cd nodejs
@@ -182,95 +152,130 @@ cd ios/ExampleiOSApp
xcodegen generate
open ExampleiOSApp.xcodeproj
```
-- In Xcode: Targets โ ExampleiOSApp โ Signing: select your Team
-- Choose your iPhone as run destination โ Build & Run
+
+In Xcode: Targets โ ExampleiOSApp โ Signing: select your Team, then choose your iPhone as run destination and build.
+
+
### Technical Details
-- **Runtime**: ONNX Runtime for cross-platform inference (CPU-optimized; GPU mode is not tested)
+- **Runtime**: ONNX Runtime for cross-platform inference
- **Browser Support**: onnxruntime-web for client-side inference
- **Batch Processing**: Supports batch inference for improved throughput
- **Audio Output**: Outputs 16-bit WAV files
-## Performance
+## Performance Highlights
-We evaluated Supertonic's performance (with 2 inference steps) using two key metrics across input texts of varying lengths: Short (59 chars), Mid (152 chars), and Long (266 chars).
+Supertonic 3 is designed for practical on-device inference: compact enough to run locally, while staying competitive with much larger open TTS systems.
-**Metrics:**
-- **Characters per Second**: Measures throughput by dividing the number of input characters by the time required to generate audio. Higher is better.
-- **Real-time Factor (RTF)**: Measures the time taken to synthesize audio relative to its duration. Lower is better (e.g., RTF of 0.1 means it takes 0.1 seconds to generate one second of audio).
+### Reading Accuracy
-### Characters per Second
-| System | Short (59 chars) | Mid (152 chars) | Long (266 chars) |
-|--------|-----------------|----------------|-----------------|
-| **Supertonic** (M4 pro - CPU) | 912 | 1048 | 1263 |
-| **Supertonic** (M4 pro - WebGPU) | 996 | 1801 | 2509 |
-| **Supertonic** (RTX4090) | 2615 | 6548 | 12164 |
-| `API` [ElevenLabs Flash v2.5](https://elevenlabs.io/docs/api-reference/text-to-speech/convert) | 144 | 209 | 287 |
-| `API` [OpenAI TTS-1](https://platform.openai.com/docs/guides/text-to-speech) | 37 | 55 | 82 |
-| `API` [Gemini 2.5 Flash TTS](https://ai.google.dev/gemini-api/docs/speech-generation) | 12 | 18 | 24 |
-| `API` [Supertone Sona speech 1](https://docs.supertoneapi.com/en/api-reference/endpoints/text-to-speech) | 38 | 64 | 92 |
-| `Open` [Kokoro](https://github.com/hexgrad/kokoro/) | 104 | 107 | 117 |
-| `Open` [NeuTTS Air](https://github.com/neuphonic/neutts-air) | 37 | 42 | 47 |
+
+
+
-> **Notes:**
-> `API` = Cloud-based API services (measured from Seoul)
-> `Open` = Open-source models
-> Supertonic (M4 pro - CPU) and (M4 pro - WebGPU): Tested with ONNX
-> Supertonic (RTX4090): Tested with PyTorch model
-> Kokoro: Tested on M4 Pro CPU with ONNX
-> NeuTTS Air: Tested on M4 Pro CPU with Q8-GGUF
+Across measured languages, Supertonic 3 stays within a competitive WER/CER range against much larger open TTS models such as VoxCPM2, while preserving a lightweight on-device deployment path. Asterisked languages use CER; the others use WER.
-### Real-time Factor
+### Supertonic 2 to Supertonic 3
-| System | Short (59 chars) | Mid (152 chars) | Long (266 chars) |
-|--------|-----------------|----------------|-----------------|
-| **Supertonic** (M4 pro - CPU) | 0.015 | 0.013 | 0.012 |
-| **Supertonic** (M4 pro - WebGPU) | 0.014 | 0.007 | 0.006 |
-| **Supertonic** (RTX4090) | 0.005 | 0.002 | 0.001 |
-| `API` [ElevenLabs Flash v2.5](https://elevenlabs.io/docs/api-reference/text-to-speech/convert) | 0.133 | 0.077 | 0.057 |
-| `API` [OpenAI TTS-1](https://platform.openai.com/docs/guides/text-to-speech) | 0.471 | 0.302 | 0.201 |
-| `API` [Gemini 2.5 Flash TTS](https://ai.google.dev/gemini-api/docs/speech-generation) | 1.060 | 0.673 | 0.541 |
-| `API` [Supertone Sona speech 1](https://docs.supertoneapi.com/en/api-reference/endpoints/text-to-speech) | 0.372 | 0.206 | 0.163 |
-| `Open` [Kokoro](https://github.com/hexgrad/kokoro/) | 0.144 | 0.124 | 0.126 |
-| `Open` [NeuTTS Air](https://github.com/neuphonic/neutts-air) | 0.390 | 0.338 | 0.343 |
+
+
+
-
-Additional Performance Data (5-step inference)
+Compared with Supertonic 2, Supertonic 3 reduces repeat and skip failures, improves speaker similarity across the shared-language set, and expands language coverage from 5 to 31 languages. It keeps the v2-compatible public ONNX interface, so existing integrations can move to v3 with the same inference contract.
-
+### Runtime Footprint
-**Characters per Second (5-step)**
+
+
+
-| System | Short (59 chars) | Mid (152 chars) | Long (266 chars) |
-|--------|-----------------|----------------|-----------------|
-| **Supertonic** (M4 pro - CPU) | 596 | 691 | 850 |
-| **Supertonic** (M4 pro - WebGPU) | 570 | 1118 | 1546 |
-| **Supertonic** (RTX4090) | 1286 | 3757 | 6242 |
+Supertonic 3 runs fast on CPU, even compared with larger baselines measured on A100 GPU, and uses substantially less memory. The open-weight fixed-voice setting does not require a GPU, which makes local, browser, and edge deployment much easier.
-**Real-time Factor (5-step)**
+### Model Size
-| System | Short (59 chars) | Mid (152 chars) | Long (266 chars) |
-|--------|-----------------|----------------|-----------------|
-| **Supertonic** (M4 pro - CPU) | 0.023 | 0.019 | 0.018 |
-| **Supertonic** (M4 pro - WebGPU) | 0.024 | 0.012 | 0.010 |
-| **Supertonic** (RTX4090) | 0.011 | 0.004 | 0.002 |
+
+
+
-
+At about 99M parameters across the public ONNX assets, Supertonic 3 is much smaller than 0.7B to 2B class open TTS systems. The smaller model size is a practical advantage for download size, startup time, and on-device inference.
-### Natural Text Handling
+## Demo
-Supertonic is designed to handle complex, real-world text inputs that contain numbers, currency symbols, abbreviations, dates, and proper nouns.
+> **Try it now**: Experience Supertonic in your browser with our [**Interactive Demo**](https://huggingface.co/spaces/Supertone/supertonic-3), or get started with pre-trained models from [**Hugging Face Hub**](https://huggingface.co/Supertone/supertonic-3)
-> ๐ง **View audio samples more easily**: Check out our [**Interactive Demo**](https://huggingface.co/spaces/Supertone/supertonic#text-handling) for a better viewing experience of all audio examples
+### Raspberry Pi
+
+Watch Supertonic running on a **Raspberry Pi**, demonstrating on-device, real-time text-to-speech synthesis:
+
+https://github.com/user-attachments/assets/ea66f6d6-7bc5-4308-8a88-1ce3e07400d2
+
+### E-Reader
+
+Experience Supertonic on an **Onyx Boox Go 6** e-reader in airplane mode, achieving an average RTF of 0.3ร with zero network dependency:
+
+https://github.com/user-attachments/assets/64980e58-ad91-423a-9623-78c2ffc13680
+
+### Chrome Extension
+
+Turns any webpage into audio in under one second, delivering lightning-fast, on-device text-to-speech with zero network dependencyโfree, private, and effortless:
+
+https://github.com/user-attachments/assets/cc8a45fc-5c3e-4b2c-8439-a14c3d00d91c
+
+## Why Supertonic?
+
+- **Blazingly Fast**: Optimized for low-latency, on-device speech generation across desktop, browser, and edge deployments
+- **Lightweight**: Compact ONNX assets designed for efficient local execution
+- **On-Device Capable**: Complete privacy and zero network dependency
+- **Accurate Reading**: Improved reading stability with fewer repeat and skip failures
+- **Expressive Tags**: Supports simple expression tags such as ``, ``, and ``
+- **Flexible Deployment**: Ready-to-use examples across Python, JavaScript, browser, mobile, and native runtimes
+
+## Language Support
+
+Supertonic 3 supports 31 languages:
+
+| Code | Language | Code | Language | Code | Language | Code | Language |
+|------|----------|------|----------|------|----------|------|----------|
+| `en` | English | `ko` | Korean | `ja` | Japanese | `ar` | Arabic |
+| `bg` | Bulgarian | `cs` | Czech | `da` | Danish | `de` | German |
+| `el` | Greek | `es` | Spanish | `et` | Estonian | `fi` | Finnish |
+| `fr` | French | `hi` | Hindi | `hr` | Croatian | `hu` | Hungarian |
+| `id` | Indonesian | `it` | Italian | `lt` | Lithuanian | `lv` | Latvian |
+| `nl` | Dutch | `pl` | Polish | `pt` | Portuguese | `ro` | Romanian |
+| `ru` | Russian | `sk` | Slovak | `sl` | Slovenian | `sv` | Swedish |
+| `tr` | Turkish | `uk` | Ukrainian | `vi` | Vietnamese | | |
+
+We provide ready-to-use TTS inference examples across multiple ecosystems:
+
+| Language/Platform | Path | Description |
+|-------------------|------|-------------|
+| [**Python**](py/) | `py/` | ONNX Runtime inference |
+| [**Node.js**](nodejs/) | `nodejs/` | Server-side JavaScript |
+| [**Browser**](web/) | `web/` | WebGPU/WASM inference |
+| [**Java**](java/) | `java/` | Cross-platform JVM |
+| [**C++**](cpp/) | `cpp/` | High-performance C++ |
+| [**C#**](csharp/) | `csharp/` | .NET ecosystem |
+| [**Go**](go/) | `go/` | Go implementation |
+| [**Swift**](swift/) | `swift/` | macOS applications |
+| [**iOS**](ios/) | `ios/` | Native iOS apps |
+| [**Rust**](rust/) | `rust/` | Memory-safe systems |
+| [**Flutter**](flutter/) | `flutter/` | Cross-platform apps |
+
+> For detailed usage instructions, please refer to the README.md in each language directory.
+
+## Natural Text Handling
+
+Supertonic is designed to handle complex, real-world text inputs that contain natural prose, punctuation, abbreviations, and proper nouns.
+
+> ๐ง **View audio samples more easily**: Check out our [**Interactive Demo**](https://huggingface.co/spaces/Supertone/supertonic-3) for a better viewing experience of all audio examples
**Overview of Test Cases:**
| Category | Key Challenges | Supertonic | ElevenLabs | OpenAI | Gemini | Microsoft |
|:--------:|:--------------:|:----------:|:----------:|:------:|:------:|:---------:|
| Financial Expression | Decimal currency, abbreviated magnitudes (M, K), currency symbols, currency codes | โ | โ | โ | โ | โ |
-| Time and Date | Time notation, abbreviated weekdays/months, date formats | โ | โ | โ | โ | โ |
| Phone Number | Area codes, hyphens, extensions (ext.) | โ | โ | โ | โ | โ |
| Technical Unit | Decimal numbers with units, abbreviated technical notations | โ | โ | โ | โ | โ |
@@ -300,33 +305,7 @@ Supertonic is designed to handle complex, real-world text inputs that contain nu
-Example 2: Time and Date
-
-
-
-**Text:**
-> "The train delay was announced at **4:45 PM** on **Wed, Apr 3, 2024** due to track maintenance."
-
-**Challenges:**
-- Time expression with PM notation (4:45 PM)
-- Abbreviated weekday (Wed)
-- Abbreviated month (Apr)
-- Full date format (Apr 3, 2024)
-
-**Audio Samples:**
-
-| System | Result | Audio Sample |
-|--------|--------|--------------|
-| **Supertonic** | โ | [๐ง Play Audio](https://drive.google.com/file/d/1ehkZU8eiizBenG2DgR5tzBGQBvHS0Uaj/view?usp=sharing) |
-| ElevenLabs Flash v2.5 | โ | [๐ง Play Audio](https://drive.google.com/file/d/1ta3r6jFyebmA-sT44l8EaEQcMLVmuOEr/view?usp=sharing) |
-| OpenAI TTS-1 | โ | [๐ง Play Audio](https://drive.google.com/file/d/1sskmem9AzHAQ3Hv8DRSZoqX_pye-CXuU/view?usp=sharing) |
-| Gemini 2.5 Flash TTS | โ | [๐ง Play Audio](https://drive.google.com/file/d/1zx9X8oMsLMXW0Zx_SURoqjju-By2yh_n/view?usp=sharing) |
-| VibeVoice Realtime 0.5B | โ | [๐ง Play Audio](https://drive.google.com/file/d/1ZpGEstZr4hA0EdAWBMCUFFWuAkIpYsVh/view?usp=sharing) |
-
-
-
-
-Example 3: Phone Number
+Example 2: Phone Number
@@ -352,7 +331,7 @@ Supertonic is designed to handle complex, real-world text inputs that contain nu
-Example 4: Technical Unit
+Example 3: Technical Unit
@@ -444,9 +423,8 @@ This paper describes the self-purification technique for training flow matching
This project's sample code is released under the MIT License. - see the [LICENSE](https://github.com/supertone-inc/supertonic?tab=MIT-1-ov-file) for details.
-The accompanying model is released under the OpenRAIL-M License. - see the [LICENSE](https://huggingface.co/Supertone/supertonic-2/blob/main/LICENSE) file for details.
+The accompanying model is released under the OpenRAIL-M License. - see the [LICENSE](https://huggingface.co/Supertone/supertonic-3/blob/main/LICENSE) file for details.
This model was trained using PyTorch, which is licensed under the BSD 3-Clause License but is not redistributed with this project. - see the [LICENSE](https://docs.pytorch.org/FBGEMM/general/License.html) for details.
Copyright (c) 2026 Supertone Inc.
-
diff --git a/cpp/README.md b/cpp/README.md
index 7ab8d93..addaa1c 100644
--- a/cpp/README.md
+++ b/cpp/README.md
@@ -4,7 +4,7 @@ High-performance text-to-speech inference using ONNX Runtime.
## ๐ฐ Update News
-**2026.01.06** - ๐ **Supertonic 2** released with multilingual support! Now supports English (`en`), Korean (`ko`), Spanish (`es`), Portuguese (`pt`), and French (`fr`). [Demo](https://huggingface.co/spaces/Supertone/supertonic-2) | [Models](https://huggingface.co/Supertone/supertonic-2)
+**2026.04.29** - ๐ **Supertonic 3** released with 31-language support, improved reading accuracy, and v2-compatible public ONNX assets. [Demo](https://huggingface.co/spaces/Supertone/supertonic-3) | [Models](https://huggingface.co/Supertone/supertonic-3)
**2025.12.10** - Added [6 new voice styles](https://huggingface.co/Supertone/supertonic/tree/b10dbaf18b316159be75b34d24f740008fddd381) (M3, M4, M5, F3, F4, F5). See [Voices](https://supertone-inc.github.io/supertonic-py/voices/) for details
@@ -51,8 +51,10 @@ vcpkg integrate install
## Building
```bash
-cd cpp && mkdir build && cd build
-cmake .. && cmake --build . --config Release
+cd cpp
+mkdir -p build && cd build
+cmake ..
+cmake --build . --config Release
./example_onnx
```
@@ -65,17 +67,17 @@ Run inference with default settings:
```
This will use:
-- Voice style: `../assets/voice_styles/M1.json`
+- Voice style: `../../assets/voice_styles/M1.json`
- Text: "This morning, I took a walk in the park, and the sound of the birds and the breeze was so pleasant that I stopped for a long time just to listen."
- Output directory: `results/`
-- Total steps: 5
+- Total steps: 8
- Number of generations: 4
### Example 2: Batch Inference
Process multiple voice styles and texts at once:
```bash
./example_onnx \
- --voice-style ../assets/voice_styles/M1.json,../assets/voice_styles/F1.json \
+ --voice-style ../../assets/voice_styles/M1.json,../../assets/voice_styles/F1.json \
--text "The sun sets behind the mountains, painting the sky in shades of pink and orange.|์ค๋ ์์นจ์ ๊ณต์์ ์ฐ์ฑ ํ๋๋ฐ, ์์๋ฆฌ์ ๋ฐ๋ ์๋ฆฌ๊ฐ ๋๋ฌด ์ข์์ ํ์ฐธ์ ๋ฉ์ถฐ ์์ ๋ค์์ด์." \
--lang en,ko \
--batch
@@ -93,19 +95,19 @@ Increase denoising steps for better quality:
```bash
./example_onnx \
--total-step 10 \
- --voice-style ../assets/voice_styles/M1.json \
+ --voice-style ../../assets/voice_styles/M1.json \
--text "Increasing the number of denoising steps improves the output's fidelity and overall quality."
```
This will:
-- Use 10 denoising steps instead of the default 5
+- Use 10 denoising steps instead of the default 8
- Produce higher quality output at the cost of slower inference
### Example 4: Long-Form Inference
For long texts, the system automatically chunks the text into manageable segments and generates a single audio file:
```bash
./example_onnx \
- --voice-style ../assets/voice_styles/M1.json \
+ --voice-style ../../assets/voice_styles/M1.json \
--text "Once upon a time, in a small village nestled between rolling hills, there lived a young artist named Clara. Every morning, she would wake up before dawn to capture the first light of day. The golden rays streaming through her window inspired countless paintings. Her work was known throughout the region for its vibrant colors and emotional depth. People from far and wide came to see her gallery, and many said her paintings could tell stories that words never could."
```
@@ -121,19 +123,19 @@ This will:
| Argument | Type | Default | Description |
|----------|------|---------|-------------|
-| `--onnx-dir` | str | `../assets/onnx` | Path to ONNX model directory |
-| `--total-step` | int | 5 | Number of denoising steps (higher = better quality, slower) |
+| `--onnx-dir` | str | `../../assets/onnx` | Path to ONNX model directory |
+| `--total-step` | int | 8 | Number of denoising steps (higher = better quality, slower) |
| `--speed` | float | 1.05 | Speech speed factor (higher = faster, lower = slower) |
| `--n-test` | int | 4 | Number of times to generate each sample |
-| `--voice-style` | str | `../assets/voice_styles/M1.json` | Voice style file path(s) (comma-separated for batch) |
+| `--voice-style` | str | `../../assets/voice_styles/M1.json` | Voice style file path(s) (comma-separated for batch) |
| `--text` | str | (long default text) | Text(s) to synthesize (pipe-separated for batch) |
-| `--lang` | str | `en` | Language(s) for text(s): `en`, `ko`, `es`, `pt`, `fr` (comma-separated for batch) |
+| `--lang` | str | `en` | Language(s) for text(s); see the main README for all 31 codes (comma-separated for batch) |
| `--save-dir` | str | `results` | Output directory |
| `--batch` | flag | False | Enable batch mode (disables automatic text chunking) |
## Notes
- **Batch Processing**: The number of `--voice-style` files must match the number of `--text` entries
-- **Multilingual Support**: Use `--lang` to specify language(s). Available: `en` (English), `ko` (Korean), `es` (Spanish), `pt` (Portuguese), `fr` (French)
+- **Multilingual Support**: Use `--lang` to specify language(s). Available: 31 languages; see the main README for the full list
- **Long-Form Inference**: Without `--batch` flag, long texts are automatically chunked and combined into a single audio file with natural pauses
- **Quality vs Speed**: Higher `--total-step` values produce better quality but take longer
diff --git a/cpp/example_onnx.cpp b/cpp/example_onnx.cpp
index 9d7d68b..96c3a3d 100644
--- a/cpp/example_onnx.cpp
+++ b/cpp/example_onnx.cpp
@@ -8,11 +8,11 @@
namespace fs = std::filesystem;
struct Args {
- std::string onnx_dir = "../assets/onnx";
- int total_step = 5;
+ std::string onnx_dir = "../../assets/onnx";
+ int total_step = 8;
float speed = 1.05f;
int n_test = 4;
- std::vector voice_style = {"../assets/voice_styles/M1.json"};
+ std::vector voice_style = {"../../assets/voice_styles/M1.json"};
std::vector text = {
"This morning, I took a walk in the park, and the sound of the birds and the breeze was so pleasant that I stopped for a long time just to listen."
};
diff --git a/cpp/helper.cpp b/cpp/helper.cpp
index 111f2fb..5933c9e 100644
--- a/cpp/helper.cpp
+++ b/cpp/helper.cpp
@@ -12,7 +12,7 @@
using json = nlohmann::json;
// Available languages for multilingual TTS
-const std::vector AVAILABLE_LANGS = {"en", "ko", "es", "pt", "fr"};
+const std::vector AVAILABLE_LANGS = {"en", "ko", "ja", "ar", "bg", "cs", "da", "de", "el", "es", "et", "fi", "fr", "hi", "hr", "hu", "id", "it", "lt", "lv", "nl", "pl", "pt", "ro", "ru", "sk", "sl", "sv", "tr", "uk", "vi"};
// Global tensor buffers for memory management
static std::vector> g_tensor_buffers_float;
@@ -190,7 +190,7 @@ std::string UnicodeProcessor::preprocessText(const std::string& text, const std:
}
}
if (!valid_lang) {
- throw std::runtime_error("Invalid language: " + lang + ". Available: en, ko, es, pt, fr");
+ throw std::runtime_error("Invalid language: " + lang + ". See AVAILABLE_LANGS for supported codes.");
}
// Wrap text with language tags
@@ -695,7 +695,7 @@ TextToSpeech::SynthesisResult TextToSpeech::call(
throw std::runtime_error("Single speaker text to speech only supports single style");
}
- int max_len = (lang == "ko") ? 120 : 300;
+ int max_len = (lang == "ko" || lang == "ja") ? 120 : 300;
auto text_list = chunkText(text, max_len);
std::vector wav_cat;
float dur_cat = 0.0f;
diff --git a/csharp/ExampleONNX.cs b/csharp/ExampleONNX.cs
index a78a876..db9a5a6 100644
--- a/csharp/ExampleONNX.cs
+++ b/csharp/ExampleONNX.cs
@@ -10,11 +10,11 @@ namespace Supertonic
class Args
{
public bool UseGpu { get; set; } = false;
- public string OnnxDir { get; set; } = "assets/onnx";
- public int TotalStep { get; set; } = 5;
+ public string OnnxDir { get; set; } = "../assets/onnx";
+ public int TotalStep { get; set; } = 8;
public float Speed { get; set; } = 1.05f;
public int NTest { get; set; } = 4;
- public List VoiceStyle { get; set; } = new List { "assets/voice_styles/M1.json" };
+ public List VoiceStyle { get; set; } = new List { "../assets/voice_styles/M1.json" };
public List Text { get; set; } = new List
{
"This morning, I took a walk in the park, and the sound of the birds and the breeze was so pleasant that I stopped for a long time just to listen."
diff --git a/csharp/Helper.cs b/csharp/Helper.cs
index fa356aa..72867b9 100644
--- a/csharp/Helper.cs
+++ b/csharp/Helper.cs
@@ -13,7 +13,7 @@ namespace Supertonic
// Available languages for multilingual TTS
public static class Languages
{
- public static readonly string[] Available = { "en", "ko", "es", "pt", "fr" };
+ public static readonly string[] Available = { "en", "ko", "ja", "ar", "bg", "cs", "da", "de", "el", "es", "et", "fi", "fr", "hi", "hr", "hu", "id", "it", "lt", "lv", "nl", "pl", "pt", "ro", "ru", "sk", "sl", "sv", "tr", "uk", "vi" };
}
// ============================================================================
@@ -440,7 +440,7 @@ namespace Supertonic
throw new ArgumentException("Single speaker text to speech only supports single style");
}
- int maxLen = lang == "ko" ? 120 : 300;
+ int maxLen = (lang == "ko" || lang == "ja") ? 120 : 300;
var textList = Helper.ChunkText(text, maxLen);
var wavCat = new List();
float durCat = 0.0f;
diff --git a/csharp/README.md b/csharp/README.md
index 459669a..68ebbf9 100644
--- a/csharp/README.md
+++ b/csharp/README.md
@@ -4,7 +4,7 @@ This guide provides examples for running TTS inference using `ExampleONNX.cs`.
## ๐ฐ Update News
-**2026.01.06** - ๐ **Supertonic 2** released with multilingual support! Now supports English (`en`), Korean (`ko`), Spanish (`es`), Portuguese (`pt`), and French (`fr`). [Demo](https://huggingface.co/spaces/Supertone/supertonic-2) | [Models](https://huggingface.co/Supertone/supertonic-2)
+**2026.04.29** - ๐ **Supertonic 3** released with 31-language support, improved reading accuracy, and v2-compatible public ONNX assets. [Demo](https://huggingface.co/spaces/Supertone/supertonic-3) | [Models](https://huggingface.co/Supertone/supertonic-3)
**2025.12.10** - Added [6 new voice styles](https://huggingface.co/Supertone/supertonic/tree/b10dbaf18b316159be75b34d24f740008fddd381) (M3, M4, M5, F3, F4, F5). See [Voices](https://supertone-inc.github.io/supertonic-py/voices/) for details
@@ -19,9 +19,11 @@ This guide provides examples for running TTS inference using `ExampleONNX.cs`.
## Installation
### Prerequisites
-- .NET 9.0 SDK or later
+- .NET 9.0 SDK/runtime, or a newer .NET runtime with major-version roll-forward
- [Download .NET SDK](https://dotnet.microsoft.com/download)
+The project targets `net9.0` and sets `RollForward=Major`, so systems with only a newer runtime such as .NET 10 can still run the example.
+
### Install dependencies
```bash
dotnet restore
@@ -36,17 +38,17 @@ dotnet run
```
This will use:
-- Voice style: `assets/voice_styles/M1.json`
+- Voice style: `../assets/voice_styles/M1.json`
- Text: "This morning, I took a walk in the park, and the sound of the birds and the breeze was so pleasant that I stopped for a long time just to listen."
- Output directory: `results/`
-- Total steps: 5
+- Total steps: 8
- Number of generations: 4
### Example 2: Batch Inference
Process multiple voice styles and texts at once:
```bash
dotnet run -- \
- --voice-style assets/voice_styles/M1.json,assets/voice_styles/F1.json \
+ --voice-style ../assets/voice_styles/M1.json,../assets/voice_styles/F1.json \
--text "The sun sets behind the mountains, painting the sky in shades of pink and orange.|์ค๋ ์์นจ์ ๊ณต์์ ์ฐ์ฑ ํ๋๋ฐ, ์์๋ฆฌ์ ๋ฐ๋ ์๋ฆฌ๊ฐ ๋๋ฌด ์ข์์ ํ์ฐธ์ ๋ฉ์ถฐ ์์ ๋ค์์ด์." \
--lang en,ko \
--batch
@@ -64,19 +66,19 @@ Increase denoising steps for better quality:
```bash
dotnet run -- \
--total-step 10 \
- --voice-style assets/voice_styles/M1.json \
+ --voice-style ../assets/voice_styles/M1.json \
--text "Increasing the number of denoising steps improves the output's fidelity and overall quality."
```
This will:
-- Use 10 denoising steps instead of the default 5
+- Use 10 denoising steps instead of the default 8
- Produce higher quality output at the cost of slower inference
### Example 4: Long-Form Inference
For long texts, the system automatically chunks the text into manageable segments and generates a single audio file:
```bash
dotnet run -- \
- --voice-style assets/voice_styles/M1.json \
+ --voice-style ../assets/voice_styles/M1.json \
--text "Once upon a time, in a small village nestled between rolling hills, there lived a young artist named Clara. Every morning, she would wake up before dawn to capture the first light of day. The golden rays streaming through her window inspired countless paintings. Her work was known throughout the region for its vibrant colors and emotional depth. People from far and wide came to see her gallery, and many said her paintings could tell stories that words never could."
```
@@ -93,20 +95,20 @@ This will:
| Argument | Type | Default | Description |
|----------|------|---------|-------------|
| `--use-gpu` | flag | False | Use GPU for inference (not supported yet) |
-| `--onnx-dir` | str | `assets/onnx` | Path to ONNX model directory |
-| `--total-step` | int | 5 | Number of denoising steps (higher = better quality, slower) |
+| `--onnx-dir` | str | `../assets/onnx` | Path to ONNX model directory |
+| `--total-step` | int | 8 | Number of denoising steps (higher = better quality, slower) |
| `--speed` | float | 1.05 | Speech speed factor (higher = faster, lower = slower) |
| `--n-test` | int | 4 | Number of times to generate each sample |
-| `--voice-style` | str+ | `assets/voice_styles/M1.json` | Voice style file path(s) (comma-separated) |
+| `--voice-style` | str+ | `../assets/voice_styles/M1.json` | Voice style file path(s) (comma-separated) |
| `--text` | str+ | (long default text) | Text(s) to synthesize (pipe-separated: `|`) |
-| `--lang` | str+ | `en` | Language(s) for text(s): `en`, `ko`, `es`, `pt`, `fr` (comma-separated) |
+| `--lang` | str+ | `en` | Language(s) for text(s); see the main README for all 31 codes (comma-separated) |
| `--save-dir` | str | `results` | Output directory |
| `--batch` | flag | False | Enable batch mode (disables automatic text chunking) |
## Notes
- **Batch Processing**: The number of `--voice-style` files must match the number of `--text` entries
-- **Multilingual Support**: Use `--lang` to specify language(s). Available: `en` (English), `ko` (Korean), `es` (Spanish), `pt` (Portuguese), `fr` (French)
+- **Multilingual Support**: Use `--lang` to specify language(s). Available: 31 languages; see the main README for the full list
- **Long-Form Inference**: Without `--batch` flag, long texts are automatically chunked and combined into a single audio file with natural pauses
- **Quality vs Speed**: Higher `--total-step` values produce better quality but take longer
- **GPU Support**: GPU mode is not supported yet
@@ -134,4 +136,3 @@ csharp/
โโโ results/ # Output directory (created automatically)
```
-
diff --git a/csharp/Supertonic.csproj b/csharp/Supertonic.csproj
index 25514f8..a836b34 100644
--- a/csharp/Supertonic.csproj
+++ b/csharp/Supertonic.csproj
@@ -5,6 +5,7 @@
net9.013.0enable
+ Major
@@ -14,4 +15,3 @@
-
diff --git a/flutter/README.md b/flutter/README.md
index ab7a7ff..cb6ae05 100644
--- a/flutter/README.md
+++ b/flutter/README.md
@@ -1,13 +1,13 @@
# Supertonic Flutter Example
-This example demonstrates how to use Supertonic 2 in a Flutter application using ONNX Runtime.
+This example demonstrates how to use Supertonic 3 in a Flutter application using ONNX Runtime.
> **Note:** This project uses the `flutter_onnxruntime` package ([https://pub.dev/packages/flutter_onnxruntime](https://pub.dev/packages/flutter_onnxruntime)). At the moment, only the macOS platform has been tested. Although the flutter_onnxruntime package supports several other platforms, they have not been tested in this project yet and may require additional verification.
## ๐ฐ Update News
-**2026.01.06** - ๐ **Supertonic 2** released with multilingual support! Now supports English (`en`), Korean (`ko`), Spanish (`es`), Portuguese (`pt`), and French (`fr`). [Demo](https://huggingface.co/spaces/Supertone/supertonic-2) | [Models](https://huggingface.co/Supertone/supertonic-2)
+**2026.04.29** - ๐ **Supertonic 3** released with 31-language support, improved reading accuracy, and v2-compatible public ONNX assets. [Demo](https://huggingface.co/spaces/Supertone/supertonic-3) | [Models](https://huggingface.co/Supertone/supertonic-3)
**2025.12.10** - Added [6 new voice styles](https://huggingface.co/Supertone/supertonic/tree/b10dbaf18b316159be75b34d24f740008fddd381) (M3, M4, M5, F3, F4, F5). See [Voices](https://supertone-inc.github.io/supertonic-py/voices/) for details
@@ -17,12 +17,7 @@ This example demonstrates how to use Supertonic 2 in a Flutter application using
## Multilingual Support
-Supertonic 2 supports multiple languages. Select the appropriate language from the dropdown:
-- **English (en)**: Default language
-- **ํ๊ตญ์ด (ko)**: Korean
-- **Espaรฑol (es)**: Spanish
-- **Portuguรชs (pt)**: Portuguese
-- **Franรงais (fr)**: French
+Supertonic 3 supports 31 languages. Select the appropriate language from the dropdown; see the main README for the full code list.
## Requirements
@@ -35,4 +30,3 @@ flutter clean
flutter pub get
flutter run -d macos
```
-
diff --git a/flutter/lib/helper.dart b/flutter/lib/helper.dart
index b1f45ec..ed554b6 100644
--- a/flutter/lib/helper.dart
+++ b/flutter/lib/helper.dart
@@ -12,7 +12,7 @@ final logger = Logger(
);
// Available languages for multilingual TTS
-const List availableLangs = ['en', 'ko', 'es', 'pt', 'fr'];
+const List availableLangs = ['en', 'ko', 'ja', 'ar', 'bg', 'cs', 'da', 'de', 'el', 'es', 'et', 'fi', 'fr', 'hi', 'hr', 'hu', 'id', 'it', 'lt', 'lv', 'nl', 'pl', 'pt', 'ro', 'ru', 'sk', 'sl', 'sv', 'tr', 'uk', 'vi'];
bool isValidLang(String lang) => availableLangs.contains(lang);
@@ -285,7 +285,7 @@ class TextToSpeech {
Future> call(
String text, String lang, Style style, int totalStep,
{double speed = 1.05, double silenceDuration = 0.3}) async {
- final maxLen = lang == 'ko' ? 120 : 300;
+ final maxLen = (lang == 'ko' || lang == 'ja') ? 120 : 300;
final chunks = _chunkText(text, maxLen: maxLen);
final langList = List.filled(chunks.length, lang);
List? wavCat;
diff --git a/flutter/lib/main.dart b/flutter/lib/main.dart
index 5e1deb2..94b06b4 100644
--- a/flutter/lib/main.dart
+++ b/flutter/lib/main.dart
@@ -14,7 +14,7 @@ class SupertonicApp extends StatelessWidget {
@override
Widget build(BuildContext context) {
return MaterialApp(
- title: 'Supertonic 2',
+ title: 'Supertonic 3',
theme: ThemeData(
colorScheme: ColorScheme.fromSeed(seedColor: Colors.deepPurple),
useMaterial3: true,
@@ -42,7 +42,7 @@ class _TTSPageState extends State {
bool _isLoading = false;
bool _isGenerating = false;
String _status = 'Not initialized';
- int _totalSteps = 5;
+ int _totalSteps = 8;
double _speed = 1.05;
String _selectedLang = 'en';
bool _isPlaying = false;
@@ -210,7 +210,7 @@ class _TTSPageState extends State {
return Scaffold(
appBar: AppBar(
backgroundColor: Theme.of(context).colorScheme.inversePrimary,
- title: const Text('Supertonic 2'),
+ title: const Text('Supertonic 3'),
),
body: Padding(
padding: const EdgeInsets.all(16.0),
@@ -323,13 +323,10 @@ class _TTSPageState extends State {
child: DropdownButton(
value: _selectedLang,
isExpanded: true,
- items: const [
- DropdownMenuItem(value: 'en', child: Text('English')),
- DropdownMenuItem(value: 'ko', child: Text('ํ๊ตญ์ด')),
- DropdownMenuItem(value: 'es', child: Text('Espaรฑol')),
- DropdownMenuItem(value: 'pt', child: Text('Portuguรชs')),
- DropdownMenuItem(value: 'fr', child: Text('Franรงais')),
- ],
+ items: availableLangs
+ .map((lang) =>
+ DropdownMenuItem(value: lang, child: Text(lang)))
+ .toList(),
onChanged: _isLoading || _isGenerating
? null
: (value) => setState(() => _selectedLang = value!),
diff --git a/go/README.md b/go/README.md
index f29ac0f..bdaa6b3 100644
--- a/go/README.md
+++ b/go/README.md
@@ -4,7 +4,7 @@ This guide provides examples for running TTS inference using `example_onnx.go`.
## ๐ฐ Update News
-**2026.01.06** - ๐ **Supertonic 2** released with multilingual support! Now supports English (`en`), Korean (`ko`), Spanish (`es`), Portuguese (`pt`), and French (`fr`). [Demo](https://huggingface.co/spaces/Supertone/supertonic-2) | [Models](https://huggingface.co/Supertone/supertonic-2)
+**2026.04.29** - ๐ **Supertonic 3** released with 31-language support, improved reading accuracy, and v2-compatible public ONNX assets. [Demo](https://huggingface.co/spaces/Supertone/supertonic-3) | [Models](https://huggingface.co/Supertone/supertonic-3)
**2025.12.10** - Added [6 new voice styles](https://huggingface.co/Supertone/supertonic/tree/b10dbaf18b316159be75b34d24f740008fddd381) (M3, M4, M5, F3, F4, F5). See [Voices](https://supertone-inc.github.io/supertonic-py/voices/) for details
@@ -30,6 +30,8 @@ This project uses Go modules for dependency management.
brew install onnxruntime
```
+The Go example auto-detects Homebrew ONNX Runtime paths on both Apple Silicon and Intel Macs.
+
**Linux:**
```bash
# Download ONNX Runtime from GitHub releases
@@ -48,7 +50,7 @@ go mod download
### Configure ONNX Runtime Library Path (Optional)
-If the ONNX Runtime library is not in a standard location, set the environment variable:
+If the ONNX Runtime library is not in a standard or Homebrew location, set the environment variable:
**Automatic Detection (Recommended):**
@@ -77,10 +79,10 @@ go run example_onnx.go helper.go
```
This will use:
-- Voice style: `assets/voice_styles/M1.json`
+- Voice style: `../assets/voice_styles/M1.json`
- Text: "This morning, I took a walk in the park, and the sound of the birds and the breeze was so pleasant that I stopped for a long time just to listen."
- Output directory: `results/`
-- Total steps: 5
+- Total steps: 8
- Number of generations: 4
### Example 2: Batch Inference
@@ -88,7 +90,7 @@ Process multiple voice styles and texts at once:
```bash
go run example_onnx.go helper.go \
--batch \
- -voice-style "assets/voice_styles/M1.json,assets/voice_styles/F1.json" \
+ -voice-style "../assets/voice_styles/M1.json,../assets/voice_styles/F1.json" \
-text "The sun sets behind the mountains, painting the sky in shades of pink and orange.|์ค๋ ์์นจ์ ๊ณต์์ ์ฐ์ฑ ํ๋๋ฐ, ์์๋ฆฌ์ ๋ฐ๋ ์๋ฆฌ๊ฐ ๋๋ฌด ๊ธฐ๋ถ ์ข์์ด์." \
-lang "en,ko"
```
@@ -104,12 +106,12 @@ Increase denoising steps for better quality:
```bash
go run example_onnx.go helper.go \
-total-step 10 \
- -voice-style "assets/voice_styles/M1.json" \
+ -voice-style "../assets/voice_styles/M1.json" \
-text "Increasing the number of denoising steps improves the output's fidelity and overall quality."
```
This will:
-- Use 10 denoising steps instead of the default 5
+- Use 10 denoising steps instead of the default 8
- Produce higher quality output at the cost of slower inference
### Example 4: Long-Form Inference
@@ -117,7 +119,7 @@ The system automatically chunks long texts into manageable segments, synthesizes
```bash
go run example_onnx.go helper.go \
- -voice-style "assets/voice_styles/M1.json" \
+ -voice-style "../assets/voice_styles/M1.json" \
-text "This is a very long text that will be automatically split into multiple chunks. The system will process each chunk separately and then concatenate them together with natural pauses between segments. This ensures that even very long texts can be processed efficiently while maintaining natural speech flow and avoiding memory issues."
```
@@ -134,18 +136,18 @@ This will:
| Argument | Type | Default | Description |
|----------|------|---------|-------------|
| `-use-gpu` | flag | false | Use GPU for inference (default: CPU) |
-| `-onnx-dir` | str | `assets/onnx` | Path to ONNX model directory |
-| `-total-step` | int | 5 | Number of denoising steps (higher = better quality, slower) |
+| `-onnx-dir` | str | `../assets/onnx` | Path to ONNX model directory |
+| `-total-step` | int | 8 | Number of denoising steps (higher = better quality, slower) |
| `-n-test` | int | 4 | Number of times to generate each sample |
-| `-voice-style` | str | `assets/voice_styles/M1.json` | Voice style file path(s), comma-separated |
+| `-voice-style` | str | `../assets/voice_styles/M1.json` | Voice style file path(s), comma-separated |
| `-text` | str | (long default text) | Text(s) to synthesize, pipe-separated |
-| `-lang` | str | `en` | Language(s) for synthesis, comma-separated (en, ko, es, pt, fr) |
+| `-lang` | str | `en` | Language(s) for synthesis, comma-separated; see the main README for all 31 codes |
| `-save-dir` | str | `results` | Output directory |
| `--batch` | flag | false | Enable batch mode (multiple text-style pairs, disables automatic chunking) |
## Notes
-- **Multilingual Support**: Use `-lang` to specify the language for each text. Available: `en` (English), `ko` (Korean), `es` (Spanish), `pt` (Portuguese), `fr` (French)
+- **Multilingual Support**: Use `-lang` to specify the language for each text. Available: 31 languages; see the main README for the full list
- **Batch Processing**: When using `--batch`, the number of `-voice-style`, `-text`, and `-lang` entries must match
- **Automatic Chunking**: Without `--batch`, long texts are automatically split and concatenated with 0.3s pauses
- **Quality vs Speed**: Higher `-total-step` values produce better quality but take longer
@@ -162,4 +164,3 @@ Then run it:
```bash
./tts_example -voice-style "../assets/voice_styles/M1.json" -text "Hello world"
```
-
diff --git a/go/example_onnx.go b/go/example_onnx.go
index ae3371c..c736fa7 100644
--- a/go/example_onnx.go
+++ b/go/example_onnx.go
@@ -28,17 +28,17 @@ func parseArgs() *Args {
args := &Args{}
flag.BoolVar(&args.useGPU, "use-gpu", false, "Use GPU for inference (default: CPU)")
- flag.StringVar(&args.onnxDir, "onnx-dir", "assets/onnx", "Path to ONNX model directory")
- flag.IntVar(&args.totalStep, "total-step", 5, "Number of denoising steps")
+ flag.StringVar(&args.onnxDir, "onnx-dir", "../assets/onnx", "Path to ONNX model directory")
+ flag.IntVar(&args.totalStep, "total-step", 8, "Number of denoising steps")
flag.Float64Var(&args.speed, "speed", 1.05, "Speech speed factor (higher = faster)")
flag.IntVar(&args.nTest, "n-test", 4, "Number of times to generate")
flag.StringVar(&args.saveDir, "save-dir", "results", "Output directory")
flag.BoolVar(&args.batch, "batch", false, "Enable batch mode (multiple text-style pairs)")
var voiceStyleStr, textStr, langStr string
- flag.StringVar(&voiceStyleStr, "voice-style", "assets/voice_styles/M1.json", "Voice style file path(s), comma-separated")
+ flag.StringVar(&voiceStyleStr, "voice-style", "../assets/voice_styles/M1.json", "Voice style file path(s), comma-separated")
flag.StringVar(&textStr, "text", "This morning, I took a walk in the park, and the sound of the birds and the breeze was so pleasant that I stopped for a long time just to listen.", "Text(s) to synthesize, pipe-separated")
- flag.StringVar(&langStr, "lang", "en", "Language(s) for synthesis, comma-separated (en, ko, es, pt, fr)")
+ flag.StringVar(&langStr, "lang", "en", "Language(s) for synthesis, comma-separated")
flag.Parse()
diff --git a/go/helper.go b/go/helper.go
index 5c795f9..f3c1d97 100644
--- a/go/helper.go
+++ b/go/helper.go
@@ -19,7 +19,7 @@ import (
)
// Available languages for multilingual TTS
-var AvailableLangs = []string{"en", "ko", "es", "pt", "fr"}
+var AvailableLangs = []string{"en", "ko", "ja", "ar", "bg", "cs", "da", "de", "el", "es", "et", "fi", "fr", "hi", "hr", "hu", "id", "it", "lt", "lv", "nl", "pl", "pt", "ro", "ru", "sk", "sl", "sv", "tr", "uk", "vi"}
// Config structures
type SpecProcessorConfig struct {
@@ -801,7 +801,7 @@ func (tts *TextToSpeech) _infer(textList []string, langList []string, style *Sty
// Call synthesizes speech from a single text with automatic chunking
func (tts *TextToSpeech) Call(text string, lang string, style *Style, totalStep int, speed float32, silenceDuration float32) ([]float32, float32, error) {
maxLen := 300
- if lang == "ko" {
+ if lang == "ko" || lang == "ja" {
maxLen = 120
}
chunks := chunkText(text, maxLen)
@@ -920,17 +920,28 @@ func LoadTextToSpeech(onnxDir string, useGPU bool, cfg Config) (*TextToSpeech, e
func InitializeONNXRuntime() error {
libPath := os.Getenv("ONNXRUNTIME_LIB_PATH")
if libPath == "" {
- libPath = "/usr/local/lib/libonnxruntime.so"
- if _, err := os.Stat("/usr/local/lib/libonnxruntime.dylib"); err == nil {
- libPath = "/usr/local/lib/libonnxruntime.dylib"
- } else if _, err := os.Stat("/usr/lib/libonnxruntime.so"); err == nil {
- libPath = "/usr/lib/libonnxruntime.so"
+ candidates := []string{
+ "/opt/homebrew/opt/onnxruntime/lib/libonnxruntime.dylib",
+ "/usr/local/opt/onnxruntime/lib/libonnxruntime.dylib",
+ "/opt/homebrew/lib/libonnxruntime.dylib",
+ "/usr/local/lib/libonnxruntime.dylib",
+ "/usr/local/lib/libonnxruntime.so",
+ "/usr/lib/libonnxruntime.so",
+ }
+ for _, candidate := range candidates {
+ if _, err := os.Stat(candidate); err == nil {
+ libPath = candidate
+ break
+ }
+ }
+ if libPath == "" {
+ libPath = "/usr/local/lib/libonnxruntime.so"
}
}
ort.SetSharedLibraryPath(libPath)
if err := ort.InitializeEnvironment(); err != nil {
- return fmt.Errorf("failed to initialize ONNX Runtime: %w\nHint: Set ONNXRUNTIME_LIB_PATH environment variable", err)
+ return fmt.Errorf("failed to initialize ONNX Runtime: %w\nHint: install ONNX Runtime (macOS: brew install onnxruntime) or set ONNXRUNTIME_LIB_PATH", err)
}
return nil
}
diff --git a/img/Supertonic3_HeroImage.png b/img/Supertonic3_HeroImage.png
new file mode 100644
index 0000000..061c602
Binary files /dev/null and b/img/Supertonic3_HeroImage.png differ
diff --git a/img/metrics/model_size_comparison.png b/img/metrics/model_size_comparison.png
new file mode 100644
index 0000000..e5b8fb2
Binary files /dev/null and b/img/metrics/model_size_comparison.png differ
diff --git a/img/metrics/runtime_cpu_gpu_latency_memory.png b/img/metrics/runtime_cpu_gpu_latency_memory.png
new file mode 100644
index 0000000..66ae496
Binary files /dev/null and b/img/metrics/runtime_cpu_gpu_latency_memory.png differ
diff --git a/img/metrics/s3_vs_measured_wer_range.png b/img/metrics/s3_vs_measured_wer_range.png
new file mode 100644
index 0000000..88bbfa9
Binary files /dev/null and b/img/metrics/s3_vs_measured_wer_range.png differ
diff --git a/img/metrics/s3_vs_measured_wer_range_voxcpm2.png b/img/metrics/s3_vs_measured_wer_range_voxcpm2.png
new file mode 100644
index 0000000..f681e87
Binary files /dev/null and b/img/metrics/s3_vs_measured_wer_range_voxcpm2.png differ
diff --git a/img/metrics/supertonic2_vs_3_comparison.png b/img/metrics/supertonic2_vs_3_comparison.png
new file mode 100644
index 0000000..6947f2d
Binary files /dev/null and b/img/metrics/supertonic2_vs_3_comparison.png differ
diff --git a/img/supertonic_preview_0.1.jpg b/img/supertonic_preview_0.1.jpg
index be74424..85064fa 100644
Binary files a/img/supertonic_preview_0.1.jpg and b/img/supertonic_preview_0.1.jpg differ
diff --git a/ios/ExampleiOSApp/ContentView.swift b/ios/ExampleiOSApp/ContentView.swift
index b9c6e95..2ac2a57 100644
--- a/ios/ExampleiOSApp/ContentView.swift
+++ b/ios/ExampleiOSApp/ContentView.swift
@@ -12,7 +12,7 @@ struct ContentView: View {
Spacer()
VStack(spacing: 12) {
- Text("Supertonic 2 iOS Demo")
+ Text("Supertonic 3 iOS Demo")
.font(.title2.weight(.semibold))
.foregroundColor(.primary)
diff --git a/ios/ExampleiOSApp/TTSService.swift b/ios/ExampleiOSApp/TTSService.swift
index a0558da..58a25b8 100644
--- a/ios/ExampleiOSApp/TTSService.swift
+++ b/ios/ExampleiOSApp/TTSService.swift
@@ -6,17 +6,69 @@ final class TTSService {
enum Language: String, CaseIterable {
case en = "en"
case ko = "ko"
+ case ja = "ja"
+ case ar = "ar"
+ case bg = "bg"
+ case cs = "cs"
+ case da = "da"
+ case de = "de"
+ case el = "el"
case es = "es"
- case pt = "pt"
+ case et = "et"
+ case fi = "fi"
case fr = "fr"
+ case hi = "hi"
+ case hr = "hr"
+ case hu = "hu"
+ case id = "id"
+ case it = "it"
+ case lt = "lt"
+ case lv = "lv"
+ case nl = "nl"
+ case pl = "pl"
+ case pt = "pt"
+ case ro = "ro"
+ case ru = "ru"
+ case sk = "sk"
+ case sl = "sl"
+ case sv = "sv"
+ case tr = "tr"
+ case uk = "uk"
+ case vi = "vi"
var displayName: String {
switch self {
case .en: return "English"
case .ko: return "ํ๊ตญ์ด"
+ case .ja: return "ๆฅๆฌ่ช"
+ case .ar: return "ุงูุนุฑุจูุฉ"
+ case .bg: return "Bulgarian"
+ case .cs: return "Czech"
+ case .da: return "Danish"
+ case .de: return "Deutsch"
+ case .el: return "Greek"
case .es: return "Espaรฑol"
- case .pt: return "Portuguรชs"
+ case .et: return "Estonian"
+ case .fi: return "Finnish"
case .fr: return "Franรงais"
+ case .hi: return "Hindi"
+ case .hr: return "Croatian"
+ case .hu: return "Hungarian"
+ case .id: return "Indonesian"
+ case .it: return "Italian"
+ case .lt: return "Lithuanian"
+ case .lv: return "Latvian"
+ case .nl: return "Dutch"
+ case .pl: return "Polish"
+ case .pt: return "Portuguรชs"
+ case .ro: return "Romanian"
+ case .ru: return "Russian"
+ case .sk: return "Slovak"
+ case .sl: return "Slovenian"
+ case .sv: return "Swedish"
+ case .tr: return "Turkish"
+ case .uk: return "Ukrainian"
+ case .vi: return "Vietnamese"
}
}
}
diff --git a/ios/ExampleiOSApp/TTSViewModel.swift b/ios/ExampleiOSApp/TTSViewModel.swift
index 8cdb855..93eb77b 100644
--- a/ios/ExampleiOSApp/TTSViewModel.swift
+++ b/ios/ExampleiOSApp/TTSViewModel.swift
@@ -4,7 +4,7 @@ import AVFoundation
@MainActor
final class TTSViewModel: ObservableObject {
@Published var text: String = "This morning, I took a walk in the park, and the sound of the birds and the breeze was so pleasant that I stopped for a long time just to listen."
- @Published var nfe: Double = 5
+ @Published var nfe: Double = 8
@Published var voice: TTSService.Voice = .male
@Published var language: TTSService.Language = .en
@Published var isGenerating: Bool = false
diff --git a/ios/README.md b/ios/README.md
index 5f92208..5bf322f 100644
--- a/ios/README.md
+++ b/ios/README.md
@@ -1,10 +1,10 @@
# Supertonic iOS Example App
-A minimal iOS demo that runs Supertonic 2 (ONNX Runtime) on-device. The app shows:
+A minimal iOS demo that runs Supertonic 3 (ONNX Runtime) on-device. The app shows:
- Multiline text input
- NFE (denoising steps) slider
- Voice toggle (M/F)
-- Language selector (en, ko, es, pt, fr)
+- Language selector for 31 supported languages
- Generate & Play buttons
- RTF display (Elapsed / Audio seconds)
@@ -12,7 +12,7 @@ All ONNX models/configs are reused from `Supertonic/assets/onnx`, and voice styl
## ๐ฐ Update News
-**2026.01.06** - ๐ **Supertonic 2** released with multilingual support! Now supports English (`en`), Korean (`ko`), Spanish (`es`), Portuguese (`pt`), and French (`fr`). [Demo](https://huggingface.co/spaces/Supertone/supertonic-2) | [Models](https://huggingface.co/Supertone/supertonic-2)
+**2026.04.29** - ๐ **Supertonic 3** released with 31-language support, improved reading accuracy, and v2-compatible public ONNX assets. [Demo](https://huggingface.co/spaces/Supertone/supertonic-3) | [Models](https://huggingface.co/Supertone/supertonic-3)
**2025.12.10** - Added [6 new voice styles](https://huggingface.co/Supertone/supertonic/tree/b10dbaf18b316159be75b34d24f740008fddd381) (M3, M4, M5, F3, F4, F5). See [Voices](https://supertone-inc.github.io/supertonic-py/voices/) for details
@@ -61,18 +61,13 @@ These references are defined in `project.yml` and added to the app bundle by Xco
## App Controls
- **Text**: Multiline `TextEditor`
-- **NFE**: Denoising steps (default 5)
+- **NFE**: Denoising steps (default 8)
- **Voice**: M/F voice style selector
-- **Language**: Language selector (English, ํ๊ตญ์ด, Espaรฑol, Portuguรชs, Franรงais)
+- **Language**: Language selector for 31 supported languages
- **Generate**: Runs end-to-end synthesis
- **Play/Stop**: Controls playback of the last output
- **RTF**: Shows Elapsed / Audio seconds for quick performance intuition
## Multilingual Support
-Supertonic 2 supports multiple languages. Select the appropriate language for your input text:
-- **English (en)**: Default language
-- **ํ๊ตญ์ด (ko)**: Korean
-- **Espaรฑol (es)**: Spanish
-- **Portuguรชs (pt)**: Portuguese
-- **Franรงais (fr)**: French
\ No newline at end of file
+Supertonic 3 supports 31 languages. Select the appropriate language for your input text; see the main README for the full code list.
diff --git a/java/ExampleONNX.java b/java/ExampleONNX.java
index 5e711ad..e9d0c60 100644
--- a/java/ExampleONNX.java
+++ b/java/ExampleONNX.java
@@ -13,11 +13,11 @@ public class ExampleONNX {
*/
static class Args {
boolean useGpu = false;
- String onnxDir = "assets/onnx";
- int totalStep = 5;
+ String onnxDir = "../assets/onnx";
+ int totalStep = 8;
float speed = 1.05f;
int nTest = 4;
- List voiceStyle = Arrays.asList("assets/voice_styles/M1.json");
+ List voiceStyle = Arrays.asList("../assets/voice_styles/M1.json");
List text = Arrays.asList(
"This morning, I took a walk in the park, and the sound of the birds and the breeze was so pleasant that I stopped for a long time just to listen."
);
diff --git a/java/Helper.java b/java/Helper.java
index dce0770..0f1c978 100644
--- a/java/Helper.java
+++ b/java/Helper.java
@@ -22,7 +22,7 @@ import java.util.regex.Matcher;
* Available languages for multilingual TTS
*/
class Languages {
- public static final List AVAILABLE = Arrays.asList("en", "ko", "es", "pt", "fr");
+ public static final List AVAILABLE = Arrays.asList("en", "ko", "ja", "ar", "bg", "cs", "da", "de", "el", "es", "et", "fi", "fr", "hi", "hr", "hu", "id", "it", "lt", "lv", "nl", "pl", "pt", "ro", "ru", "sk", "sl", "sv", "tr", "uk", "vi");
public static boolean isValid(String lang) {
return AVAILABLE.contains(lang);
@@ -450,7 +450,7 @@ class TextToSpeech {
*/
public TTSResult call(String text, String lang, Style style, int totalStep, float speed, float silenceDuration, OrtEnvironment env)
throws OrtException {
- int maxLen = lang.equals("ko") ? 120 : 300;
+ int maxLen = (lang.equals("ko") || lang.equals("ja")) ? 120 : 300;
List chunks = Helper.chunkText(text, maxLen);
List wavCat = new ArrayList<>();
@@ -952,4 +952,3 @@ public class Helper {
return result;
}
}
-
diff --git a/java/README.md b/java/README.md
index d6bc125..e6561f9 100644
--- a/java/README.md
+++ b/java/README.md
@@ -4,7 +4,7 @@ This guide provides examples for running TTS inference using `ExampleONNX.java`.
## ๐ฐ Update News
-**2026.01.06** - ๐ **Supertonic 2** released with multilingual support! Now supports English (`en`), Korean (`ko`), Spanish (`es`), Portuguese (`pt`), and French (`fr`). [Demo](https://huggingface.co/spaces/Supertone/supertonic-2) | [Models](https://huggingface.co/Supertone/supertonic-2)
+**2026.04.29** - ๐ **Supertonic 3** released with 31-language support, improved reading accuracy, and v2-compatible public ONNX assets. [Demo](https://huggingface.co/spaces/Supertone/supertonic-3) | [Models](https://huggingface.co/Supertone/supertonic-3)
**2025.12.10** - Added [6 new voice styles](https://huggingface.co/Supertone/supertonic/tree/b10dbaf18b316159be75b34d24f740008fddd381) (M3, M4, M5, F3, F4, F5). See [Voices](https://supertone-inc.github.io/supertonic-py/voices/) for details
@@ -22,9 +22,17 @@ This project uses [Maven](https://maven.apache.org/) for dependency management.
### Prerequisites
-- Java 11 or higher
+- Java Development Kit (JDK) 11 or higher, not just a JRE
- Maven 3.6 or higher
+On macOS with Homebrew:
+
+```bash
+brew install openjdk@17 maven
+export JAVA_HOME="$(brew --prefix openjdk@17)/libexec/openjdk.jdk/Contents/Home"
+export PATH="$(brew --prefix openjdk@17)/bin:$PATH"
+```
+
### Install dependencies
```bash
@@ -40,16 +48,16 @@ mvn exec:java
```
This will use:
-- Voice style: `assets/voice_styles/M1.json`
+- Voice style: `../assets/voice_styles/M1.json`
- Text: "This morning, I took a walk in the park, and the sound of the birds and the breeze was so pleasant that I stopped for a long time just to listen."
- Output directory: `results/`
-- Total steps: 5
+- Total steps: 8
- Number of generations: 4
### Example 2: Batch Inference
Process multiple voice styles and texts at once:
```bash
-mvn exec:java -Dexec.args="--batch --voice-style assets/voice_styles/M1.json,assets/voice_styles/F1.json --text 'The sun sets behind the mountains, painting the sky in shades of pink and orange.|์ค๋ ์์นจ์ ๊ณต์์ ์ฐ์ฑ ํ๋๋ฐ, ์์๋ฆฌ์ ๋ฐ๋ ์๋ฆฌ๊ฐ ๋๋ฌด ๊ธฐ๋ถ ์ข์์ด์.' --lang en,ko"
+mvn exec:java -Dexec.args="--batch --voice-style ../assets/voice_styles/M1.json,../assets/voice_styles/F1.json --text 'The sun sets behind the mountains, painting the sky in shades of pink and orange.|์ค๋ ์์นจ์ ๊ณต์์ ์ฐ์ฑ ํ๋๋ฐ, ์์๋ฆฌ์ ๋ฐ๋ ์๋ฆฌ๊ฐ ๋๋ฌด ๊ธฐ๋ถ ์ข์์ด์.' --lang en,ko"
```
This will:
@@ -61,18 +69,18 @@ This will:
### Example 3: High Quality Inference
Increase denoising steps for better quality:
```bash
-mvn exec:java -Dexec.args="--total-step 10 --voice-style assets/voice_styles/M1.json --text 'Increasing the number of denoising steps improves the output fidelity and overall quality.'"
+mvn exec:java -Dexec.args="--total-step 10 --voice-style ../assets/voice_styles/M1.json --text 'Increasing the number of denoising steps improves the output fidelity and overall quality.'"
```
This will:
-- Use 10 denoising steps instead of the default 5
+- Use 10 denoising steps instead of the default 8
- Produce higher quality output at the cost of slower inference
### Example 4: Long-Form Inference
The system automatically chunks long texts into manageable segments, synthesizes each segment separately, and concatenates them with natural pauses (0.3 seconds by default) into a single audio file. This happens by default when you don't use the `--batch` flag:
```bash
-mvn exec:java -Dexec.args="--voice-style assets/voice_styles/M1.json --text 'This is a very long text that will be automatically split into multiple chunks. The system will process each chunk separately and then concatenate them together with natural pauses between segments. This ensures that even very long texts can be processed efficiently while maintaining natural speech flow and avoiding memory issues.'"
+mvn exec:java -Dexec.args="--voice-style ../assets/voice_styles/M1.json --text 'This is a very long text that will be automatically split into multiple chunks. The system will process each chunk separately and then concatenate them together with natural pauses between segments. This ensures that even very long texts can be processed efficiently while maintaining natural speech flow and avoiding memory issues.'"
```
This will:
@@ -110,21 +118,20 @@ java -jar target/tts-example.jar --total-step 10 --text "Your custom text here"
| Argument | Type | Default | Description |
|----------|------|---------|-------------|
| `--use-gpu` | flag | False | Use GPU for inference (default: CPU) |
-| `--onnx-dir` | str | `assets/onnx` | Path to ONNX model directory |
-| `--total-step` | int | 5 | Number of denoising steps (higher = better quality, slower) |
+| `--onnx-dir` | str | `../assets/onnx` | Path to ONNX model directory |
+| `--total-step` | int | 8 | Number of denoising steps (higher = better quality, slower) |
| `--n-test` | int | 4 | Number of times to generate each sample |
-| `--voice-style` | str+ | `assets/voice_styles/M1.json` | Voice style file path(s), comma-separated |
+| `--voice-style` | str+ | `../assets/voice_styles/M1.json` | Voice style file path(s), comma-separated |
| `--text` | str+ | (long default text) | Text(s) to synthesize, pipe-separated |
-| `--lang` | str+ | `en` | Language(s) for synthesis, comma-separated (en, ko, es, pt, fr) |
+| `--lang` | str+ | `en` | Language(s) for synthesis, comma-separated; see the main README for all 31 codes |
| `--save-dir` | str | `results` | Output directory |
| `--batch` | flag | False | Enable batch mode (multiple text-style pairs, disables automatic chunking) |
## Notes
-- **Multilingual Support**: Use `--lang` to specify the language for each text. Available: `en` (English), `ko` (Korean), `es` (Spanish), `pt` (Portuguese), `fr` (French)
+- **Multilingual Support**: Use `--lang` to specify the language for each text. Available: 31 languages; see the main README for the full list
- **Batch Processing**: When using `--batch`, the number of `--voice-style`, `--text`, and `--lang` entries must match
- **Automatic Chunking**: Without `--batch`, long texts are automatically split and concatenated with 0.3s pauses
- **Quality vs Speed**: Higher `--total-step` values produce better quality but take longer
- **GPU Support**: GPU mode is not supported yet
- **Voice Styles**: Uses pre-extracted voice style JSON files for fast inference
-
diff --git a/nodejs/README.md b/nodejs/README.md
index 4629092..8a62249 100644
--- a/nodejs/README.md
+++ b/nodejs/README.md
@@ -4,7 +4,7 @@ Node.js implementation for TTS inference. Uses ONNX Runtime to generate speech f
## ๐ฐ Update News
-**2026.01.06** - ๐ **Supertonic 2** released with multilingual support! Now supports English (`en`), Korean (`ko`), Spanish (`es`), Portuguese (`pt`), and French (`fr`). [Demo](https://huggingface.co/spaces/Supertone/supertonic-2) | [Models](https://huggingface.co/Supertone/supertonic-2)
+**2026.04.29** - ๐ **Supertonic 3** released with 31-language support, improved reading accuracy, and v2-compatible public ONNX assets. [Demo](https://huggingface.co/spaces/Supertone/supertonic-3) | [Models](https://huggingface.co/Supertone/supertonic-3)
**2025.12.10** - Added [6 new voice styles](https://huggingface.co/Supertone/supertonic/tree/b10dbaf18b316159be75b34d24f740008fddd381) (M3, M4, M5, F3, F4, F5). See [Voices](https://supertone-inc.github.io/supertonic-py/voices/) for details
@@ -33,7 +33,7 @@ npm install
### Example 1: Default Inference
Run inference with default settings:
```bash
-npm start
+node example_onnx.js
```
Or:
@@ -42,17 +42,17 @@ node example_onnx.js
```
This will use:
-- Voice style: `assets/voice_styles/M1.json`
+- Voice style: `../assets/voice_styles/M1.json`
- Text: "This morning, I took a walk in the park, and the sound of the birds and the breeze was so pleasant that I stopped for a long time just to listen."
- Output directory: `results/`
-- Total steps: 5
+- Total steps: 8
- Number of generations: 4
### Example 2: Batch Inference
Process multiple voice styles and texts at once:
```bash
node example_onnx.js \
- --voice-style "assets/voice_styles/M1.json,assets/voice_styles/F1.json" \
+ --voice-style "../assets/voice_styles/M1.json,../assets/voice_styles/F1.json" \
--text "The sun sets behind the mountains, painting the sky in shades of pink and orange.|์ค๋ ์์นจ์ ๊ณต์์ ์ฐ์ฑ ํ๋๋ฐ, ์์๋ฆฌ์ ๋ฐ๋ ์๋ฆฌ๊ฐ ๋๋ฌด ์ข์์ ํ์ฐธ์ ๋ฉ์ถฐ ์์ ๋ค์์ด์." \
--lang "en,ko" \
--batch
@@ -70,19 +70,19 @@ Increase denoising steps for better quality:
```bash
node example_onnx.js \
--total-step 10 \
- --voice-style "assets/voice_styles/M1.json" \
+ --voice-style "../assets/voice_styles/M1.json" \
--text "Increasing the number of denoising steps improves the output's fidelity and overall quality."
```
This will:
-- Use 10 denoising steps instead of the default 5
+- Use 10 denoising steps instead of the default 8
- Produce higher quality output at the cost of slower inference
### Example 4: Long-Form Inference
For long texts, the system automatically chunks the text into manageable segments and generates a single audio file:
```bash
node example_onnx.js \
- --voice-style "assets/voice_styles/M1.json" \
+ --voice-style "../assets/voice_styles/M1.json" \
--text "Once upon a time, in a small village nestled between rolling hills, there lived a young artist named Clara. Every morning, she would wake up before dawn to capture the first light of day. The golden rays streaming through her window inspired countless paintings. Her work was known throughout the region for its vibrant colors and emotional depth. People from far and wide came to see her gallery, and many said her paintings could tell stories that words never could."
```
@@ -99,20 +99,20 @@ This will:
| Argument | Type | Default | Description |
|----------|------|---------|-------------|
| `--use-gpu` | flag | False | Use GPU for inference (not supported yet) |
-| `--onnx-dir` | str | `assets/onnx` | Path to ONNX model directory |
-| `--total-step` | int | 5 | Number of denoising steps (higher = better quality, slower) |
+| `--onnx-dir` | str | `../assets/onnx` | Path to ONNX model directory |
+| `--total-step` | int | 8 | Number of denoising steps (higher = better quality, slower) |
| `--speed` | float | 1.05 | Speech speed factor (higher = faster, lower = slower) |
| `--n-test` | int | 4 | Number of times to generate each sample |
-| `--voice-style` | str+ | `assets/voice_styles/M1.json` | Voice style file path(s). Separate multiple files with commas |
+| `--voice-style` | str+ | `../assets/voice_styles/M1.json` | Voice style file path(s). Separate multiple files with commas |
| `--text` | str+ | (long default text) | Text(s) to synthesize. Separate multiple texts with pipes |
-| `--lang` | str+ | `en` | Language(s) for text(s): `en`, `ko`, `es`, `pt`, `fr`. Separate multiple with commas |
+| `--lang` | str+ | `en` | Language(s) for text(s); see the main README for all 31 codes. Separate multiple with commas |
| `--save-dir` | str | `results` | Output directory |
| `--batch` | flag | False | Enable batch mode (disables automatic text chunking) |
## Notes
- **Batch Processing**: The number of voice style files must match the number of texts. Use commas to separate files and pipes to separate texts
-- **Multilingual Support**: Use `--lang` to specify language(s). Available: `en` (English), `ko` (Korean), `es` (Spanish), `pt` (Portuguese), `fr` (French)
+- **Multilingual Support**: Use `--lang` to specify language(s). Available: 31 languages; see the main README for the full list
- **Long-Form Inference**: Without `--batch` flag, long texts are automatically chunked and combined into a single audio file with natural pauses
- **Quality vs Speed**: Higher `--total-step` values produce better quality but take longer
- **GPU Support**: GPU mode is not supported yet
diff --git a/nodejs/example_onnx.js b/nodejs/example_onnx.js
index eb28a3a..230ea3b 100644
--- a/nodejs/example_onnx.js
+++ b/nodejs/example_onnx.js
@@ -13,11 +13,11 @@ const __dirname = path.dirname(__filename);
function parseArgs() {
const args = {
useGpu: false,
- onnxDir: 'assets/onnx',
- totalStep: 5,
+ onnxDir: '../assets/onnx',
+ totalStep: 8,
speed: 1.05,
nTest: 4,
- voiceStyle: ['assets/voice_styles/M1.json'],
+ voiceStyle: ['../assets/voice_styles/M1.json'],
text: ['This morning, I took a walk in the park, and the sound of the birds and the breeze was so pleasant that I stopped for a long time just to listen.'],
lang: ['en'],
saveDir: 'results',
diff --git a/nodejs/helper.js b/nodejs/helper.js
index 1cde419..2bfedfc 100644
--- a/nodejs/helper.js
+++ b/nodejs/helper.js
@@ -5,7 +5,7 @@ import * as ort from 'onnxruntime-node';
const __filename = fileURLToPath(import.meta.url);
-const AVAILABLE_LANGS = ["en", "ko", "es", "pt", "fr"];
+const AVAILABLE_LANGS = ["en", "ko", "ja", "ar", "bg", "cs", "da", "de", "el", "es", "et", "fi", "fr", "hi", "hr", "hu", "id", "it", "lt", "lv", "nl", "pl", "pt", "ro", "ru", "sk", "sl", "sv", "tr", "uk", "vi"];
/**
* Unicode text processor
@@ -275,7 +275,7 @@ class TextToSpeech {
if (style.ttl.dims[0] !== 1) {
throw new Error('Single speaker text to speech only supports single style');
}
- const maxLen = lang === 'ko' ? 120 : 300;
+ const maxLen = (lang === 'ko' || lang === 'ja') ? 120 : 300;
const textList = chunkText(text, maxLen);
let wavCat = null;
let durCat = 0;
diff --git a/py/README.md b/py/README.md
index 0df8449..9985439 100644
--- a/py/README.md
+++ b/py/README.md
@@ -4,7 +4,7 @@ This guide provides examples for running TTS inference using `example_onnx.py`.
## ๐ฐ Update News
-**2026.01.06** - ๐ **Supertonic 2** released with multilingual support! Now supports English (`en`), Korean (`ko`), Spanish (`es`), Portuguese (`pt`), and French (`fr`). [Demo](https://huggingface.co/spaces/Supertone/supertonic-2) | [Models](https://huggingface.co/Supertone/supertonic-2)
+**2026.04.29** - ๐ **Supertonic 3** released with 31-language support, improved reading accuracy, and v2-compatible public ONNX assets. [Demo](https://huggingface.co/spaces/Supertone/supertonic-3) | [Models](https://huggingface.co/Supertone/supertonic-3)
**2025.12.10** - Added `supertonic` PyPI package! Install via `pip install supertonic` for a streamlined experience. This is a separate usage method from the ONNX examples in this directory. For more details, visit [supertonic-py documentation](https://supertone-inc.github.io/supertonic-py) and see `example_pypi.py` for usage.
@@ -46,17 +46,17 @@ uv run example_onnx.py
```
This will use:
-- Voice style: `assets/voice_styles/M1.json`
+- Voice style: `../assets/voice_styles/M1.json`
- Text: "This morning, I took a walk in the park, and the sound of the birds and the breeze was so pleasant that I stopped for a long time just to listen."
- Output directory: `results/`
-- Total steps: 5
+- Total steps: 8
- Number of generations: 4
### Example 2: Batch Inference
Process multiple voice styles and texts at once:
```bash
uv run example_onnx.py \
- --voice-style assets/voice_styles/M1.json assets/voice_styles/F1.json \
+ --voice-style ../assets/voice_styles/M1.json ../assets/voice_styles/F1.json \
--text "The sun sets behind the mountains, painting the sky in shades of pink and orange." "์ค๋ ์์นจ์ ๊ณต์์ ์ฐ์ฑ ํ๋๋ฐ, ์์๋ฆฌ์ ๋ฐ๋ ์๋ฆฌ๊ฐ ๋๋ฌด ์ข์์ ํ์ฐธ์ ๋ฉ์ถฐ ์์ ๋ค์์ด์." \
--lang en ko \
--batch
@@ -74,19 +74,19 @@ Increase denoising steps for better quality:
```bash
uv run example_onnx.py \
--total-step 10 \
- --voice-style assets/voice_styles/M1.json \
+ --voice-style ../assets/voice_styles/M1.json \
--text "Increasing the number of denoising steps improves the output's fidelity and overall quality."
```
This will:
-- Use 10 denoising steps instead of the default 5
+- Use 10 denoising steps instead of the default 8
- Produce higher quality output at the cost of slower inference
### Example 4: Long-Form Inference
For long texts, the system automatically chunks the text into manageable segments and generates a single audio file:
```bash
uv run example_onnx.py \
- --voice-style assets/voice_styles/M1.json \
+ --voice-style ../assets/voice_styles/M1.json \
--text "Once upon a time, in a small village nestled between rolling hills, there lived a young artist named Clara. Every morning, she would wake up before dawn to capture the first light of day. The golden rays streaming through her window inspired countless paintings. Her work was known throughout the region for its vibrant colors and emotional depth. People from far and wide came to see her gallery, and many said her paintings could tell stories that words never could."
```
@@ -103,13 +103,13 @@ Control the speed of speech synthesis:
```bash
# Faster speech (speed > 1.0)
uv run example_onnx.py \
- --voice-style assets/voice_styles/F2.json \
+ --voice-style ../assets/voice_styles/F2.json \
--text "This text will be synthesized at a faster pace." \
--speed 1.2
# Slower speech (speed < 1.0)
uv run example_onnx.py \
- --voice-style assets/voice_styles/M2.json \
+ --voice-style ../assets/voice_styles/M2.json \
--text "This text will be synthesized at a slower, more deliberate pace." \
--speed 0.9
```
@@ -125,20 +125,20 @@ This will:
| Argument | Type | Default | Description |
|----------|------|---------|-------------|
| `--use-gpu` | flag | False | Use GPU for inference (with CPU fallback) |
-| `--onnx-dir` | str | `assets/onnx` | Path to ONNX model directory |
-| `--total-step` | int | 5 | Number of denoising steps (higher = better quality, slower) |
+| `--onnx-dir` | str | `../assets/onnx` | Path to ONNX model directory |
+| `--total-step` | int | 8 | Number of denoising steps (higher = better quality, slower) |
| `--speed` | float | 1.05 | Speech speed factor (higher = faster, lower = slower) |
| `--n-test` | int | 4 | Number of times to generate each sample |
-| `--voice-style` | str+ | `assets/voice_styles/M1.json` | Voice style file path(s) |
+| `--voice-style` | str+ | `../assets/voice_styles/M1.json` | Voice style file path(s) |
| `--text` | str+ | (long default text) | Text(s) to synthesize |
-| `--lang` | str+ | `en` | Language(s) for text(s): `en`, `ko`, `es`, `pt`, `fr` |
+| `--lang` | str+ | `en` | Language(s) for text(s); see the main README for all 31 codes |
| `--save-dir` | str | `results` | Output directory |
| `--batch` | flag | False | Enable batch mode (disables automatic text chunking) |
## Notes
- **Batch Processing**: The number of `--voice-style` files must match the number of `--text` entries
-- **Multilingual Support**: Use `--lang` to specify language(s). Available: `en` (English), `ko` (Korean), `es` (Spanish), `pt` (Portuguese), `fr` (French)
+- **Multilingual Support**: Use `--lang` to specify language(s). Available: 31 languages; see the main README for the full list
- **Long-Form Inference**: Without `--batch` flag, long texts are automatically chunked and combined into a single audio file with natural pauses
- **Quality vs Speed**: Higher `--total-step` values produce better quality but take longer
- **GPU Support**: GPU mode is not supported yet
diff --git a/py/example_onnx.py b/py/example_onnx.py
index 3cb96b4..0c09720 100644
--- a/py/example_onnx.py
+++ b/py/example_onnx.py
@@ -18,13 +18,13 @@ def parse_args():
parser.add_argument(
"--onnx-dir",
type=str,
- default="assets/onnx",
+ default="../assets/onnx",
help="Path to ONNX model directory",
)
# Synthesis parameters
parser.add_argument(
- "--total-step", type=int, default=5, help="Number of denoising steps"
+ "--total-step", type=int, default=8, help="Number of denoising steps"
)
parser.add_argument(
"--speed",
@@ -44,7 +44,7 @@ def parse_args():
"--voice-style",
type=str,
nargs="+",
- default=["assets/voice_styles/M1.json"],
+ default=["../assets/voice_styles/M1.json"],
help="Voice style file path(s). Can specify multiple files for batch processing",
)
parser.add_argument(
diff --git a/py/helper.py b/py/helper.py
index 182caac..c0f12a3 100644
--- a/py/helper.py
+++ b/py/helper.py
@@ -10,7 +10,7 @@ import onnxruntime as ort
import re
-AVAILABLE_LANGS = ["en", "ko", "es", "pt", "fr"]
+AVAILABLE_LANGS = ["en", "ko", "ja", "ar", "bg", "cs", "da", "de", "el", "es", "et", "fi", "fr", "hi", "hr", "hu", "id", "it", "lt", "lv", "nl", "pl", "pt", "ro", "ru", "sk", "sl", "sv", "tr", "uk", "vi"]
class UnicodeProcessor:
@@ -226,7 +226,7 @@ class TextToSpeech:
assert (
style.ttl.shape[0] == 1
), "Single speaker text to speech only supports single style"
- max_len = 120 if lang == "ko" else 300
+ max_len = 120 if lang in ("ko", "ja") else 300
text_list = chunk_text(text, max_len=max_len)
wav_cat = None
dur_cat = None
diff --git a/rust/Cargo.toml b/rust/Cargo.toml
index 256cf5a..7281259 100644
--- a/rust/Cargo.toml
+++ b/rust/Cargo.toml
@@ -8,7 +8,7 @@ edition = "2021"
ort = "2.0.0-rc.7"
# Array processing (like NumPy)
-ndarray = { version = "0.16", features = ["rayon"] }
+ndarray = { version = "0.17", features = ["rayon"] }
rand = "0.8"
rand_distr = "0.4"
@@ -41,4 +41,3 @@ libc = "0.2"
[[bin]]
name = "example_onnx"
path = "src/example_onnx.rs"
-
diff --git a/rust/README.md b/rust/README.md
index 25cb6ac..233474f 100644
--- a/rust/README.md
+++ b/rust/README.md
@@ -4,7 +4,7 @@ This guide provides examples for running TTS inference using Rust.
## ๐ฐ Update News
-**2026.01.06** - ๐ **Supertonic 2** released with multilingual support! Now supports English (`en`), Korean (`ko`), Spanish (`es`), Portuguese (`pt`), and French (`fr`). [Demo](https://huggingface.co/spaces/Supertone/supertonic-2) | [Models](https://huggingface.co/Supertone/supertonic-2)
+**2026.04.29** - ๐ **Supertonic 3** released with 31-language support, improved reading accuracy, and v2-compatible public ONNX assets. [Demo](https://huggingface.co/spaces/Supertone/supertonic-3) | [Models](https://huggingface.co/Supertone/supertonic-3)
**2025.12.10** - Added [6 new voice styles](https://huggingface.co/Supertone/supertonic/tree/b10dbaf18b316159be75b34d24f740008fddd381) (M3, M4, M5, F3, F4, F5). See [Voices](https://supertone-inc.github.io/supertonic-py/voices/) for details
@@ -47,10 +47,10 @@ cargo run --release --bin example_onnx
```
This will use:
-- Voice style: `assets/voice_styles/M1.json`
+- Voice style: `../assets/voice_styles/M1.json`
- Text: "This morning, I took a walk in the park, and the sound of the birds and the breeze was so pleasant that I stopped for a long time just to listen."
- Output directory: `results/`
-- Total steps: 5
+- Total steps: 8
- Number of generations: 4
### Example 2: Batch Inference
@@ -59,14 +59,14 @@ Process multiple voice styles and texts at once:
# Using cargo run
cargo run --release --bin example_onnx -- \
--batch \
- --voice-style assets/voice_styles/M1.json,assets/voice_styles/F1.json \
+ --voice-style ../assets/voice_styles/M1.json,../assets/voice_styles/F1.json \
--text "The sun sets behind the mountains, painting the sky in shades of pink and orange.|์ค๋ ์์นจ์ ๊ณต์์ ์ฐ์ฑ ํ๋๋ฐ, ์์๋ฆฌ์ ๋ฐ๋ ์๋ฆฌ๊ฐ ๋๋ฌด ๊ธฐ๋ถ ์ข์์ด์." \
--lang en,ko
# Or using the binary directly
./target/release/example_onnx \
--batch \
- --voice-style assets/voice_styles/M1.json,assets/voice_styles/F1.json \
+ --voice-style ../assets/voice_styles/M1.json,../assets/voice_styles/F1.json \
--text "The sun sets behind the mountains, painting the sky in shades of pink and orange.|์ค๋ ์์นจ์ ๊ณต์์ ์ฐ์ฑ ํ๋๋ฐ, ์์๋ฆฌ์ ๋ฐ๋ ์๋ฆฌ๊ฐ ๋๋ฌด ๊ธฐ๋ถ ์ข์์ด์." \
--lang en,ko
```
@@ -83,18 +83,18 @@ Increase denoising steps for better quality:
# Using cargo run
cargo run --release --bin example_onnx -- \
--total-step 10 \
- --voice-style assets/voice_styles/M1.json \
+ --voice-style ../assets/voice_styles/M1.json \
--text "Increasing the number of denoising steps improves the output's fidelity and overall quality."
# Or using the binary directly
./target/release/example_onnx \
--total-step 10 \
- --voice-style assets/voice_styles/M1.json \
+ --voice-style ../assets/voice_styles/M1.json \
--text "Increasing the number of denoising steps improves the output's fidelity and overall quality."
```
This will:
-- Use 10 denoising steps instead of the default 5
+- Use 10 denoising steps instead of the default 8
- Produce higher quality output at the cost of slower inference
### Example 4: Long-Form Inference
@@ -103,12 +103,12 @@ The system automatically chunks long texts into manageable segments, synthesizes
```bash
# Using cargo run
cargo run --release --bin example_onnx -- \
- --voice-style assets/voice_styles/M1.json \
+ --voice-style ../assets/voice_styles/M1.json \
--text "This is a very long text that will be automatically split into multiple chunks. The system will process each chunk separately and then concatenate them together with natural pauses between segments. This ensures that even very long texts can be processed efficiently while maintaining natural speech flow and avoiding memory issues."
# Or using the binary directly
./target/release/example_onnx \
- --voice-style assets/voice_styles/M1.json \
+ --voice-style ../assets/voice_styles/M1.json \
--text "This is a very long text that will be automatically split into multiple chunks. The system will process each chunk separately and then concatenate them together with natural pauses between segments. This ensures that even very long texts can be processed efficiently while maintaining natural speech flow and avoiding memory issues."
```
@@ -125,18 +125,18 @@ This will:
| Argument | Type | Default | Description |
|----------|------|---------|-------------|
| `--use-gpu` | flag | False | Use GPU for inference (default: CPU) |
-| `--onnx-dir` | str | `assets/onnx` | Path to ONNX model directory |
-| `--total-step` | int | 5 | Number of denoising steps (higher = better quality, slower) |
+| `--onnx-dir` | str | `../assets/onnx` | Path to ONNX model directory |
+| `--total-step` | int | 8 | Number of denoising steps (higher = better quality, slower) |
| `--n-test` | int | 4 | Number of times to generate each sample |
-| `--voice-style` | str+ | `assets/voice_styles/M1.json` | Voice style file path(s), comma-separated |
+| `--voice-style` | str+ | `../assets/voice_styles/M1.json` | Voice style file path(s), comma-separated |
| `--text` | str+ | (long default text) | Text(s) to synthesize, pipe-separated |
-| `--lang` | str+ | `en` | Language(s) for synthesis, comma-separated (en, ko, es, pt, fr) |
+| `--lang` | str+ | `en` | Language(s) for synthesis, comma-separated; see the main README for all 31 codes |
| `--save-dir` | str | `results` | Output directory |
| `--batch` | flag | False | Enable batch mode (multiple text-style pairs, disables automatic chunking) |
## Notes
-- **Multilingual Support**: Use `--lang` to specify the language for each text. Available: `en` (English), `ko` (Korean), `es` (Spanish), `pt` (Portuguese), `fr` (French)
+- **Multilingual Support**: Use `--lang` to specify the language for each text. Available: 31 languages; see the main README for the full list
- **Batch Processing**: When using `--batch`, the number of `--voice-style`, `--text`, and `--lang` entries must match
- **Automatic Chunking**: Without `--batch`, long texts are automatically split and concatenated with 0.3s pauses
- **Quality vs Speed**: Higher `--total-step` values produce better quality but take longer
diff --git a/rust/src/example_onnx.rs b/rust/src/example_onnx.rs
index 74912f8..6e23e58 100644
--- a/rust/src/example_onnx.rs
+++ b/rust/src/example_onnx.rs
@@ -19,11 +19,11 @@ struct Args {
use_gpu: bool,
/// Path to ONNX model directory
- #[arg(long, default_value = "assets/onnx")]
+ #[arg(long, default_value = "../assets/onnx")]
onnx_dir: String,
/// Number of denoising steps
- #[arg(long, default_value = "5")]
+ #[arg(long, default_value = "8")]
total_step: usize,
/// Speech speed factor (higher = faster)
@@ -35,14 +35,14 @@ struct Args {
n_test: usize,
/// Voice style file path(s)
- #[arg(long, value_delimiter = ',', default_values_t = vec!["assets/voice_styles/M1.json".to_string()])]
+ #[arg(long, value_delimiter = ',', default_values_t = vec!["../assets/voice_styles/M1.json".to_string()])]
voice_style: Vec,
/// Text(s) to synthesize
#[arg(long, value_delimiter = '|', default_values_t = vec!["This morning, I took a walk in the park, and the sound of the birds and the breeze was so pleasant that I stopped for a long time just to listen.".to_string()])]
text: Vec,
- /// Language(s) for synthesis (en, ko, es, pt, fr)
+ /// Language(s) for synthesis; see the main README for all supported codes
#[arg(long, value_delimiter = ',', default_values_t = vec!["en".to_string()])]
lang: Vec,
diff --git a/rust/src/helper.rs b/rust/src/helper.rs
index 4dc5875..032541f 100644
--- a/rust/src/helper.rs
+++ b/rust/src/helper.rs
@@ -15,7 +15,7 @@ use rand_distr::{Distribution, Normal};
use regex::Regex;
// Available languages for multilingual TTS
-pub const AVAILABLE_LANGS: &[&str] = &["en", "ko", "es", "pt", "fr"];
+pub const AVAILABLE_LANGS: &[&str] = &["en", "ko", "ja", "ar", "bg", "cs", "da", "de", "el", "es", "et", "fi", "fr", "hi", "hr", "hu", "id", "it", "lt", "lv", "nl", "pl", "pt", "ro", "ru", "sk", "sl", "sv", "tr", "uk", "vi"];
pub fn is_valid_lang(lang: &str) -> bool {
AVAILABLE_LANGS.contains(&lang)
@@ -688,7 +688,7 @@ impl TextToSpeech {
speed: f32,
silence_duration: f32,
) -> Result<(Vec, f32)> {
- let max_len = if lang == "ko" { 120 } else { 300 };
+ let max_len = if lang == "ko" || lang == "ja" { 120 } else { 300 };
let chunks = chunk_text(text, Some(max_len));
let mut wav_cat: Vec = Vec::new();
diff --git a/swift/README.md b/swift/README.md
index 075a917..d674420 100644
--- a/swift/README.md
+++ b/swift/README.md
@@ -4,7 +4,7 @@ This guide provides examples for running TTS inference using `example_onnx`.
## ๐ฐ Update News
-**2026.01.06** - ๐ **Supertonic 2** released with multilingual support! Now supports English (`en`), Korean (`ko`), Spanish (`es`), Portuguese (`pt`), and French (`fr`). [Demo](https://huggingface.co/spaces/Supertone/supertonic-2) | [Models](https://huggingface.co/Supertone/supertonic-2)
+**2026.04.29** - ๐ **Supertonic 3** released with 31-language support, improved reading accuracy, and v2-compatible public ONNX assets. [Demo](https://huggingface.co/spaces/Supertone/supertonic-3) | [Models](https://huggingface.co/Supertone/supertonic-3)
**2025.12.10** - Added [6 new voice styles](https://huggingface.co/Supertone/supertonic/tree/b10dbaf18b316159be75b34d24f740008fddd381) (M3, M4, M5, F3, F4, F5). See [Voices](https://supertone-inc.github.io/supertonic-py/voices/) for details
@@ -38,10 +38,10 @@ Run inference with default settings:
```
This will use:
-- Voice style: `assets/voice_styles/M1.json`
+- Voice style: `../assets/voice_styles/M1.json`
- Text: "This morning, I took a walk in the park, and the sound of the birds and the breeze was so pleasant that I stopped for a long time just to listen."
- Output directory: `results/`
-- Total steps: 5
+- Total steps: 8
- Number of generations: 4
### Example 2: Batch Inference
@@ -49,7 +49,7 @@ Process multiple voice styles and texts at once:
```bash
.build/release/example_onnx \
--batch \
- --voice-style assets/voice_styles/M1.json,assets/voice_styles/F1.json \
+ --voice-style ../assets/voice_styles/M1.json,../assets/voice_styles/F1.json \
--text "The sun sets behind the mountains, painting the sky in shades of pink and orange.|์ค๋ ์์นจ์ ๊ณต์์ ์ฐ์ฑ ํ๋๋ฐ, ์์๋ฆฌ์ ๋ฐ๋ ์๋ฆฌ๊ฐ ๋๋ฌด ๊ธฐ๋ถ ์ข์์ด์." \
--lang en,ko
```
@@ -65,12 +65,12 @@ Increase denoising steps for better quality:
```bash
.build/release/example_onnx \
--total-step 10 \
- --voice-style assets/voice_styles/M1.json \
+ --voice-style ../assets/voice_styles/M1.json \
--text "Increasing the number of denoising steps improves the output's fidelity and overall quality."
```
This will:
-- Use 10 denoising steps instead of the default 5
+- Use 10 denoising steps instead of the default 8
- Produce higher quality output at the cost of slower inference
### Example 4: Long-Form Inference
@@ -78,7 +78,7 @@ The system automatically chunks long texts into manageable segments, synthesizes
```bash
.build/release/example_onnx \
- --voice-style assets/voice_styles/M1.json \
+ --voice-style ../assets/voice_styles/M1.json \
--text "This is a very long text that will be automatically split into multiple chunks. The system will process each chunk separately and then concatenate them together with natural pauses between segments. This ensures that even very long texts can be processed efficiently while maintaining natural speech flow and avoiding memory issues."
```
@@ -95,28 +95,22 @@ This will:
| Argument | Type | Default | Description |
|----------|------|---------|-------------|
| `--use-gpu` | flag | False | Use GPU for inference (default: CPU) |
-| `--onnx-dir` | str | `assets/onnx` | Path to ONNX model directory |
-| `--total-step` | int | 5 | Number of denoising steps (higher = better quality, slower) |
+| `--onnx-dir` | str | `../assets/onnx` | Path to ONNX model directory |
+| `--total-step` | int | 8 | Number of denoising steps (higher = better quality, slower) |
| `--n-test` | int | 4 | Number of times to generate each sample |
-| `--voice-style` | str+ | `assets/voice_styles/M1.json` | Voice style file path(s) |
+| `--voice-style` | str+ | `../assets/voice_styles/M1.json` | Voice style file path(s) |
| `--text` | str+ | (long default text) | Text(s) to synthesize |
-| `--lang` | str+ | `en` | Language(s) for synthesis (en, ko, es, pt, fr) |
+| `--lang` | str+ | `en` | Language(s) for synthesis; see the main README for all 31 codes |
| `--save-dir` | str | `results` | Output directory |
| `--batch` | flag | False | Enable batch mode (multiple text-style-lang triplets, disables automatic chunking) |
## Multilingual Support
-Supertonic 2 supports multiple languages. Use the `--lang` argument to specify the language:
-
-- `en` - English (default)
-- `ko` - Korean (ํ๊ตญ์ด)
-- `es` - Spanish (Espaรฑol)
-- `pt` - Portuguese (Portuguรชs)
-- `fr` - French (Franรงais)
+Supertonic 3 supports 31 languages. Use the `--lang` argument to specify the language; see the main README for the full code list.
## Notes
- **Batch Processing**: When using `--batch`, the number of `--voice-style`, `--text`, and `--lang` entries must match
- **Automatic Chunking**: Without `--batch`, long texts are automatically split and concatenated with 0.3s pauses
- **Quality vs Speed**: Higher `--total-step` values produce better quality but take longer
-- **GPU Support**: GPU mode is not supported yet
\ No newline at end of file
+- **GPU Support**: GPU mode is not supported yet
diff --git a/swift/Sources/ExampleONNX.swift b/swift/Sources/ExampleONNX.swift
index 702d562..92adf74 100644
--- a/swift/Sources/ExampleONNX.swift
+++ b/swift/Sources/ExampleONNX.swift
@@ -3,11 +3,11 @@ import OnnxRuntimeBindings
struct Args {
var useGpu: Bool = false
- var onnxDir: String = "assets/onnx"
- var totalStep: Int = 5
+ var onnxDir: String = "../assets/onnx"
+ var totalStep: Int = 8
var speed: Float = 1.05
var nTest: Int = 4
- var voiceStyle: [String] = ["assets/voice_styles/M1.json"]
+ var voiceStyle: [String] = ["../assets/voice_styles/M1.json"]
var text: [String] = ["This morning, I took a walk in the park, and the sound of the birds and the breeze was so pleasant that I stopped for a long time just to listen."]
var lang: [String] = ["en"]
var saveDir: String = "results"
@@ -32,7 +32,7 @@ func parseArgs() -> Args {
}
case "--total-step":
if i + 1 < arguments.count {
- args.totalStep = Int(arguments[i + 1]) ?? 5
+ args.totalStep = Int(arguments[i + 1]) ?? 8
i += 1
}
case "--speed":
diff --git a/swift/Sources/Helper.swift b/swift/Sources/Helper.swift
index 1e8e3bd..cc551ee 100644
--- a/swift/Sources/Helper.swift
+++ b/swift/Sources/Helper.swift
@@ -4,7 +4,7 @@ import OnnxRuntimeBindings
// MARK: - Available Languages
-let AVAILABLE_LANGS = ["en", "ko", "es", "pt", "fr"]
+let AVAILABLE_LANGS = ["en", "ko", "ja", "ar", "bg", "cs", "da", "de", "el", "es", "et", "fi", "fr", "hi", "hr", "hu", "id", "it", "lt", "lv", "nl", "pl", "pt", "ro", "ru", "sk", "sl", "sv", "tr", "uk", "vi"]
func isValidLang(_ lang: String) -> Bool {
return AVAILABLE_LANGS.contains(lang)
@@ -701,7 +701,7 @@ class TextToSpeech {
}
func call(_ text: String, _ lang: String, _ style: Style, _ totalStep: Int, speed: Float = 1.05, silenceDuration: Float = 0.3) throws -> (wav: [Float], duration: Float) {
- let maxLen = lang == "ko" ? 120 : 300
+ let maxLen = (lang == "ko" || lang == "ja") ? 120 : 300
let chunks = chunkText(text, maxLen: maxLen)
let langList = Array(repeating: lang, count: chunks.count)
diff --git a/test_all.sh b/test_all.sh
index 0ff292b..b4a1992 100755
--- a/test_all.sh
+++ b/test_all.sh
@@ -4,10 +4,16 @@
# This script runs inference tests for all supported languages except web
set -e # Exit on error
+set -o pipefail
SCRIPT_DIR="$( cd "$( dirname "${BASH_SOURCE[0]}" )" && pwd )"
cd "$SCRIPT_DIR"
+export UV_CACHE_DIR="${UV_CACHE_DIR:-$SCRIPT_DIR/.uv-cache}"
+export CLANG_MODULE_CACHE_PATH="${CLANG_MODULE_CACHE_PATH:-$SCRIPT_DIR/.clang-module-cache}"
+SWIFT_HOME="${SWIFT_HOME:-$SCRIPT_DIR/.swift-home}"
+mkdir -p "$UV_CACHE_DIR" "$CLANG_MODULE_CACHE_PATH" "$SWIFT_HOME"
+
echo "=================================="
echo "Supertonic - Testing All Examples"
echo "=================================="
@@ -110,6 +116,28 @@ NC='\033[0m' # No Color
declare -a PASSED=()
declare -a FAILED=()
+# Local toolchain fallbacks for Homebrew keg-only installs.
+DOTNET_CMD="${DOTNET_CMD:-dotnet}"
+if ! "$DOTNET_CMD" --list-runtimes 2>/dev/null | grep -q "Microsoft.NETCore.App 9\\."; then
+ if [ -x "/opt/homebrew/opt/dotnet@9/bin/dotnet" ]; then
+ DOTNET_CMD="/opt/homebrew/opt/dotnet@9/bin/dotnet"
+ export DOTNET_ROOT="${DOTNET_ROOT:-/opt/homebrew/opt/dotnet@9/libexec}"
+ elif [ -x "/usr/local/opt/dotnet@9/bin/dotnet" ]; then
+ DOTNET_CMD="/usr/local/opt/dotnet@9/bin/dotnet"
+ export DOTNET_ROOT="${DOTNET_ROOT:-/usr/local/opt/dotnet@9/libexec}"
+ fi
+fi
+
+if ! javac -version >/dev/null 2>&1; then
+ if [ -x "/opt/homebrew/opt/openjdk@17/bin/javac" ]; then
+ export JAVA_HOME="/opt/homebrew/opt/openjdk@17/libexec/openjdk.jdk/Contents/Home"
+ export PATH="/opt/homebrew/opt/openjdk@17/bin:$PATH"
+ elif [ -x "/usr/local/opt/openjdk@17/bin/javac" ]; then
+ export JAVA_HOME="/usr/local/opt/openjdk@17/libexec/openjdk.jdk/Contents/Home"
+ export PATH="/usr/local/opt/openjdk@17/bin:$PATH"
+ fi
+fi
+
# Helper function to show statistics
show_stats() {
local name=$1
@@ -181,10 +209,10 @@ if [ "$TEST_DEFAULT" = true ]; then
run_test "Python (default)" "py" "uv run example_onnx.py"
fi
if [ "$TEST_BATCH" = true ]; then
- run_test "Python (batch)" "py" "uv run example_onnx.py --batch --voice-style $BATCH_VOICE_STYLE_1 $BATCH_VOICE_STYLE_2 --text '$BATCH_TEXT_1' '$BATCH_TEXT_2' --lang $BATCH_LANG_1 $BATCH_LANG_2"
+ run_test "Python (batch)" "py" "uv run example_onnx.py --batch --voice-style ../$BATCH_VOICE_STYLE_1 ../$BATCH_VOICE_STYLE_2 --text '$BATCH_TEXT_1' '$BATCH_TEXT_2' --lang $BATCH_LANG_1 $BATCH_LANG_2"
fi
if [ "$TEST_LONGFORM" = true ]; then
- run_test "Python (long-form)" "py" "uv run example_onnx.py --voice-style $LONGFORM_VOICE_STYLE --text '$LONGFORM_TEXT'"
+ run_test "Python (long-form)" "py" "uv run example_onnx.py --voice-style ../$LONGFORM_VOICE_STYLE --text '$LONGFORM_TEXT'"
fi
# ====================================
@@ -197,10 +225,10 @@ if [ "$TEST_DEFAULT" = true ]; then
run_test "JavaScript (default)" "nodejs" "node example_onnx.js"
fi
if [ "$TEST_BATCH" = true ]; then
- run_test "JavaScript (batch)" "nodejs" "node example_onnx.js --batch --voice-style $BATCH_VOICE_STYLE_1,$BATCH_VOICE_STYLE_2 --text '$BATCH_TEXT_1|$BATCH_TEXT_2' --lang $BATCH_LANG_1,$BATCH_LANG_2"
+ run_test "JavaScript (batch)" "nodejs" "node example_onnx.js --batch --voice-style ../$BATCH_VOICE_STYLE_1,../$BATCH_VOICE_STYLE_2 --text '$BATCH_TEXT_1|$BATCH_TEXT_2' --lang $BATCH_LANG_1,$BATCH_LANG_2"
fi
if [ "$TEST_LONGFORM" = true ]; then
- run_test "JavaScript (long-form)" "nodejs" "node example_onnx.js --voice-style $LONGFORM_VOICE_STYLE --text '$LONGFORM_TEXT'"
+ run_test "JavaScript (long-form)" "nodejs" "node example_onnx.js --voice-style ../$LONGFORM_VOICE_STYLE --text '$LONGFORM_TEXT'"
fi
# ====================================
@@ -209,15 +237,20 @@ fi
echo -e "${YELLOW}Testing Go...${NC}"
echo "Cleaning Go cache..."
cd go && go clean && cd ..
-export ONNXRUNTIME_LIB_PATH=$(brew --prefix onnxruntime 2>/dev/null)/lib/libonnxruntime.dylib
+if [ -z "${ONNXRUNTIME_LIB_PATH:-}" ] && command -v brew >/dev/null 2>&1; then
+ ORT_PREFIX="$(brew --prefix onnxruntime 2>/dev/null || true)"
+ if [ -n "$ORT_PREFIX" ]; then
+ export ONNXRUNTIME_LIB_PATH="$ORT_PREFIX/lib/libonnxruntime.dylib"
+ fi
+fi
if [ "$TEST_DEFAULT" = true ]; then
run_test "Go (default)" "go" "go run example_onnx.go helper.go"
fi
if [ "$TEST_BATCH" = true ]; then
- run_test "Go (batch)" "go" "go run example_onnx.go helper.go --batch -voice-style $BATCH_VOICE_STYLE_1,$BATCH_VOICE_STYLE_2 -text '$BATCH_TEXT_1|$BATCH_TEXT_2' -lang $BATCH_LANG_1,$BATCH_LANG_2"
+ run_test "Go (batch)" "go" "go run example_onnx.go helper.go --batch -voice-style ../$BATCH_VOICE_STYLE_1,../$BATCH_VOICE_STYLE_2 -text '$BATCH_TEXT_1|$BATCH_TEXT_2' -lang $BATCH_LANG_1,$BATCH_LANG_2"
fi
if [ "$TEST_LONGFORM" = true ]; then
- run_test "Go (long-form)" "go" "go run example_onnx.go helper.go -voice-style $LONGFORM_VOICE_STYLE -text '$LONGFORM_TEXT'"
+ run_test "Go (long-form)" "go" "go run example_onnx.go helper.go -voice-style ../$LONGFORM_VOICE_STYLE -text '$LONGFORM_TEXT'"
fi
# ====================================
@@ -230,10 +263,10 @@ if [ "$TEST_DEFAULT" = true ]; then
run_test "Rust (default)" "rust" "cargo run --release"
fi
if [ "$TEST_BATCH" = true ]; then
- run_test "Rust (batch)" "rust" "cargo run --release -- --batch --voice-style $BATCH_VOICE_STYLE_1,$BATCH_VOICE_STYLE_2 --text '$BATCH_TEXT_1|$BATCH_TEXT_2' --lang $BATCH_LANG_1,$BATCH_LANG_2"
+ run_test "Rust (batch)" "rust" "cargo run --release -- --batch --voice-style ../$BATCH_VOICE_STYLE_1,../$BATCH_VOICE_STYLE_2 --text '$BATCH_TEXT_1|$BATCH_TEXT_2' --lang $BATCH_LANG_1,$BATCH_LANG_2"
fi
if [ "$TEST_LONGFORM" = true ]; then
- run_test "Rust (long-form)" "rust" "cargo run --release -- --voice-style $LONGFORM_VOICE_STYLE --text '$LONGFORM_TEXT'"
+ run_test "Rust (long-form)" "rust" "cargo run --release -- --voice-style ../$LONGFORM_VOICE_STYLE --text '$LONGFORM_TEXT'"
fi
# ====================================
@@ -241,15 +274,15 @@ fi
# ====================================
echo -e "${YELLOW}Testing C#...${NC}"
echo "Building C# project..."
-cd csharp && dotnet clean && cd ..
+cd csharp && DOTNET_CLI_HOME="$SCRIPT_DIR/.dotnet" "$DOTNET_CMD" clean && cd ..
if [ "$TEST_DEFAULT" = true ]; then
- run_test "C# (default)" "csharp" "dotnet run --configuration Release"
+ run_test "C# (default)" "csharp" "DOTNET_CLI_HOME='$SCRIPT_DIR/.dotnet' '$DOTNET_CMD' run --configuration Release"
fi
if [ "$TEST_BATCH" = true ]; then
- run_test "C# (batch)" "csharp" "dotnet run --configuration Release -- --batch --voice-style ../$BATCH_VOICE_STYLE_1,../$BATCH_VOICE_STYLE_2 --text '$BATCH_TEXT_1|$BATCH_TEXT_2' --lang $BATCH_LANG_1,$BATCH_LANG_2"
+ run_test "C# (batch)" "csharp" "DOTNET_CLI_HOME='$SCRIPT_DIR/.dotnet' '$DOTNET_CMD' run --configuration Release -- --batch --voice-style ../$BATCH_VOICE_STYLE_1,../$BATCH_VOICE_STYLE_2 --text '$BATCH_TEXT_1|$BATCH_TEXT_2' --lang $BATCH_LANG_1,$BATCH_LANG_2"
fi
if [ "$TEST_LONGFORM" = true ]; then
- run_test "C# (long-form)" "csharp" "dotnet run --configuration Release -- --voice-style ../$LONGFORM_VOICE_STYLE --text '$LONGFORM_TEXT'"
+ run_test "C# (long-form)" "csharp" "DOTNET_CLI_HOME='$SCRIPT_DIR/.dotnet' '$DOTNET_CMD' run --configuration Release -- --voice-style ../$LONGFORM_VOICE_STYLE --text '$LONGFORM_TEXT'"
fi
# ====================================
@@ -257,15 +290,15 @@ fi
# ====================================
echo -e "${YELLOW}Testing Java...${NC}"
echo "Building Java project..."
-cd java && mvn clean install -q && cd ..
+cd java && mvn -Dmaven.repo.local="$SCRIPT_DIR/.m2/repository" clean install -q && cd ..
if [ "$TEST_DEFAULT" = true ]; then
- run_test "Java (default)" "java" "mvn exec:java -q"
+ run_test "Java (default)" "java" "mvn -Dmaven.repo.local='$SCRIPT_DIR/.m2/repository' exec:java -q"
fi
if [ "$TEST_BATCH" = true ]; then
- run_test "Java (batch)" "java" "mvn exec:java -q -Dexec.args='--batch --voice-style $BATCH_VOICE_STYLE_1,$BATCH_VOICE_STYLE_2 --text \"$BATCH_TEXT_1|$BATCH_TEXT_2\" --lang $BATCH_LANG_1,$BATCH_LANG_2'"
+ run_test "Java (batch)" "java" "mvn -Dmaven.repo.local='$SCRIPT_DIR/.m2/repository' exec:java -q -Dexec.args='--batch --voice-style ../$BATCH_VOICE_STYLE_1,../$BATCH_VOICE_STYLE_2 --text \"$BATCH_TEXT_1|$BATCH_TEXT_2\" --lang $BATCH_LANG_1,$BATCH_LANG_2'"
fi
if [ "$TEST_LONGFORM" = true ]; then
- run_test "Java (long-form)" "java" "mvn exec:java -q -Dexec.args='--voice-style $LONGFORM_VOICE_STYLE --text \"$LONGFORM_TEXT\"'"
+ run_test "Java (long-form)" "java" "mvn -Dmaven.repo.local='$SCRIPT_DIR/.m2/repository' exec:java -q -Dexec.args='--voice-style ../$LONGFORM_VOICE_STYLE --text \"$LONGFORM_TEXT\"'"
fi
# ====================================
@@ -273,15 +306,15 @@ fi
# ====================================
echo -e "${YELLOW}Testing Swift...${NC}"
echo "Building Swift project..."
-cd swift && swift build -c release && cd ..
+cd swift && HOME="$SWIFT_HOME" CLANG_MODULE_CACHE_PATH="$CLANG_MODULE_CACHE_PATH" swift build --disable-sandbox -c release && cd ..
if [ "$TEST_DEFAULT" = true ]; then
- run_test "Swift (default)" "swift" ".build/release/example_onnx"
+ run_test "Swift (default)" "swift" "HOME='$SWIFT_HOME' CLANG_MODULE_CACHE_PATH='$CLANG_MODULE_CACHE_PATH' .build/release/example_onnx"
fi
if [ "$TEST_BATCH" = true ]; then
- run_test "Swift (batch)" "swift" ".build/release/example_onnx --batch --voice-style $BATCH_VOICE_STYLE_1,$BATCH_VOICE_STYLE_2 --text '$BATCH_TEXT_1|$BATCH_TEXT_2' --lang $BATCH_LANG_1,$BATCH_LANG_2"
+ run_test "Swift (batch)" "swift" "HOME='$SWIFT_HOME' CLANG_MODULE_CACHE_PATH='$CLANG_MODULE_CACHE_PATH' .build/release/example_onnx --batch --voice-style ../$BATCH_VOICE_STYLE_1,../$BATCH_VOICE_STYLE_2 --text '$BATCH_TEXT_1|$BATCH_TEXT_2' --lang $BATCH_LANG_1,$BATCH_LANG_2"
fi
if [ "$TEST_LONGFORM" = true ]; then
- run_test "Swift (long-form)" "swift" ".build/release/example_onnx --voice-style $LONGFORM_VOICE_STYLE --text '$LONGFORM_TEXT'"
+ run_test "Swift (long-form)" "swift" "HOME='$SWIFT_HOME' CLANG_MODULE_CACHE_PATH='$CLANG_MODULE_CACHE_PATH' .build/release/example_onnx --voice-style ../$LONGFORM_VOICE_STYLE --text '$LONGFORM_TEXT'"
fi
# ====================================
@@ -289,15 +322,15 @@ fi
# ====================================
echo -e "${YELLOW}Testing C++...${NC}"
echo "Building C++ project..."
-cd cpp && mkdir -p build && cd build && cmake .. && make && cd ../..
+cmake -S cpp -B cpp/build && cmake --build cpp/build --config Release
if [ "$TEST_DEFAULT" = true ]; then
run_test "C++ (default)" "cpp/build" "./example_onnx"
fi
if [ "$TEST_BATCH" = true ]; then
- run_test "C++ (batch)" "cpp/build" "./example_onnx --batch --voice-style ../$BATCH_VOICE_STYLE_1,../$BATCH_VOICE_STYLE_2 --text '$BATCH_TEXT_1|$BATCH_TEXT_2' --lang $BATCH_LANG_1,$BATCH_LANG_2"
+ run_test "C++ (batch)" "cpp/build" "./example_onnx --batch --voice-style ../../$BATCH_VOICE_STYLE_1,../../$BATCH_VOICE_STYLE_2 --text '$BATCH_TEXT_1|$BATCH_TEXT_2' --lang $BATCH_LANG_1,$BATCH_LANG_2"
fi
if [ "$TEST_LONGFORM" = true ]; then
- run_test "C++ (long-form)" "cpp/build" "./example_onnx --voice-style ../$LONGFORM_VOICE_STYLE --text '$LONGFORM_TEXT'"
+ run_test "C++ (long-form)" "cpp/build" "./example_onnx --voice-style ../../$LONGFORM_VOICE_STYLE --text '$LONGFORM_TEXT'"
fi
# ====================================
@@ -327,4 +360,3 @@ else
echo -e "${GREEN}All tests passed! ๐${NC}"
exit 0
fi
-
diff --git a/web/README.md b/web/README.md
index 48dbe0e..fb6851a 100644
--- a/web/README.md
+++ b/web/README.md
@@ -4,7 +4,7 @@ This example demonstrates how to use Supertonic in a web browser using ONNX Runt
## ๐ฐ Update News
-**2026.01.06** - ๐ **Supertonic 2** released with multilingual support! Now supports English (`en`), Korean (`ko`), Spanish (`es`), Portuguese (`pt`), and French (`fr`). [Demo](https://huggingface.co/spaces/Supertone/supertonic-2) | [Models](https://huggingface.co/Supertone/supertonic-2)
+**2026.04.29** - ๐ **Supertonic 3** released with 31-language support, improved reading accuracy, and v2-compatible public ONNX assets. [Demo](https://huggingface.co/spaces/Supertone/supertonic-3) | [Models](https://huggingface.co/Supertone/supertonic-3)
**2025.12.10** - Added [6 new voice styles](https://huggingface.co/Supertone/supertonic/tree/b10dbaf18b316159be75b34d24f740008fddd381) (M3, M4, M5, F3, F4, F5). See [Voices](https://supertone-inc.github.io/supertonic-py/voices/) for details
@@ -20,7 +20,7 @@ This example demonstrates how to use Supertonic in a web browser using ONNX Runt
- ๐ Runs entirely in the browser (no server required for inference)
- ๐ WebGPU support with automatic fallback to WebAssembly
-- ๐ Multilingual support: English (en), Korean (ko), Spanish (es), Portuguese (pt), French (fr)
+- ๐ Multilingual support: 31 languages
- โก Pre-extracted voice styles for instant generation
- ๐จ Modern, responsive UI
- ๐ญ Multiple voice style presets (5 Male, 5 Female)
@@ -58,14 +58,10 @@ This will start a local development server (usually at http://localhost:3000) an
- **Male 1-5 (M1-M5)**: Male voice styles
- **Female 1-5 (F1-F5)**: Female voice styles
3. **Select Language**: Choose the language that matches your input text
- - **English (en)**: Default language
- - **ํ๊ตญ์ด (ko)**: Korean
- - **Espaรฑol (es)**: Spanish
- - **Portuguรชs (pt)**: Portuguese
- - **Franรงais (fr)**: French
+ - Supertonic 3 supports 31 language codes; see the main README for the full list.
4. **Enter Text**: Type or paste the text you want to convert to speech
5. **Adjust Settings** (optional):
- - **Total Steps**: More steps = better quality but slower (default: 5)
+ - **Total Steps**: More steps = better quality but slower (default: 8)
6. **Generate Speech**: Click the "Generate Speech" button
7. **View Results**:
- See the full input text
@@ -75,7 +71,7 @@ This will start a local development server (usually at http://localhost:3000) an
## Multilingual Support
-Supertonic 2 supports multiple languages. Make sure to select the correct language for your input text to get the best results. The model will automatically handle text preprocessing and pronunciation for the selected language.
+Supertonic 3 supports 31 languages. Make sure to select the correct language for your input text to get the best results. The model will automatically handle text preprocessing and pronunciation for the selected language.
## Technical Details
@@ -118,4 +114,4 @@ This demo uses:
### Slow generation
- If using WebAssembly, try a browser that supports WebGPU
- Ensure no other heavy processes are running
-- Consider using fewer denoising steps for faster (but lower quality) results
\ No newline at end of file
+- Consider using fewer denoising steps for faster (but lower quality) results
diff --git a/web/helper.js b/web/helper.js
index 931d1d7..3513e8d 100644
--- a/web/helper.js
+++ b/web/helper.js
@@ -1,7 +1,7 @@
import * as ort from 'onnxruntime-web';
// Available languages for multilingual TTS
-export const AVAILABLE_LANGS = ['en', 'ko', 'es', 'pt', 'fr'];
+export const AVAILABLE_LANGS = ['en', 'ko', 'ja', 'ar', 'bg', 'cs', 'da', 'de', 'el', 'es', 'et', 'fi', 'fr', 'hi', 'hr', 'hu', 'id', 'it', 'lt', 'lv', 'nl', 'pl', 'pt', 'ro', 'ru', 'sk', 'sl', 'sv', 'tr', 'uk', 'vi'];
export function isValidLang(lang) {
return AVAILABLE_LANGS.includes(lang);
@@ -272,7 +272,7 @@ export class TextToSpeech {
if (style.ttl.dims[0] !== 1) {
throw new Error('Single speaker text to speech only supports single style');
}
- const maxLen = lang === 'ko' ? 120 : 300;
+ const maxLen = (lang === 'ko' || lang === 'ja') ? 120 : 300;
const textList = chunkText(text, maxLen);
const langList = new Array(textList.length).fill(lang);
let wavCat = [];
diff --git a/web/index.html b/web/index.html
index 527627e..ccebe79 100644
--- a/web/index.html
+++ b/web/index.html
@@ -3,13 +3,13 @@
- Supertonic - Web Demo
+ Supertonic 3 - Web Demo
+ 
-
+
+
+
+