102 lines
3.2 KiB
Markdown
102 lines
3.2 KiB
Markdown
# Supertonic C++ Implementation
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High-performance text-to-speech inference using ONNX Runtime.
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## Requirements
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- C++17 compiler, CMake 3.15+
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- Libraries: ONNX Runtime, nlohmann/json
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## Installation
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**Ubuntu/Debian:**
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> ⚠️ **Note:** Installation instructions not yet verified.
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```bash
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sudo apt-get install -y cmake g++ nlohmann-json3-dev
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wget https://github.com/microsoft/onnxruntime/releases/download/v1.16.3/onnxruntime-linux-x64-1.16.3.tgz
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tar -xzf onnxruntime-linux-x64-1.16.3.tgz
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sudo cp -r onnxruntime-linux-x64-1.16.3/include/* /usr/local/include/
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sudo cp -r onnxruntime-linux-x64-1.16.3/lib/* /usr/local/lib/
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sudo ldconfig
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```
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**macOS:**
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```bash
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brew install cmake nlohmann-json onnxruntime
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```
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**Windows (vcpkg):**
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> ⚠️ **Note:** Installation instructions not yet verified.
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```powershell
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vcpkg install nlohmann-json:x64-windows onnxruntime:x64-windows
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vcpkg integrate install
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```
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## Building
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```bash
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cd cpp && mkdir build && cd build
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cmake .. && cmake --build . --config Release
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./example_onnx
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```
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## Basic Usage
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### Example 1: Default Inference
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Run inference with default settings:
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```bash
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./example_onnx
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```
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This will use:
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- Voice style: `../assets/voice_styles/M1.json`
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- 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."
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- Output directory: `results/`
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- Total steps: 5
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- Number of generations: 4
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### Example 2: Batch Inference
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Process multiple voice styles and texts at once:
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```bash
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./example_onnx \
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--voice-style ../assets/voice_styles/M1.json,../assets/voice_styles/F1.json \
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--text "The sun sets behind the mountains, painting the sky in shades of pink and orange.|The weather is beautiful and sunny outside. A gentle breeze makes the air feel fresh and pleasant."
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```
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This will:
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- Generate speech for 2 different voice-text pairs
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- Use male voice style (M1.json) for the first text
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- Use female voice style (F1.json) for the second text
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- Process both samples in a single batch
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### Example 3: High Quality Inference
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Increase denoising steps for better quality:
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```bash
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./example_onnx \
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--total-step 10 \
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--voice-style ../assets/voice_styles/M1.json \
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--text "Increasing the number of denoising steps improves the output's fidelity and overall quality."
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```
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This will:
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- Use 10 denoising steps instead of the default 5
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- Produce higher quality output at the cost of slower inference
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## Available Arguments
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| Argument | Type | Default | Description |
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|----------|------|---------|-------------|
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| `--onnx-dir` | str | `../assets/onnx` | Path to ONNX model directory |
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| `--total-step` | int | 5 | Number of denoising steps (higher = better quality, slower) |
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| `--n-test` | int | 4 | Number of times to generate each sample |
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| `--voice-style` | str | `../assets/voice_styles/M1.json` | Voice style file path(s) (comma-separated for batch) |
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| `--text` | str | (long default text) | Text(s) to synthesize (pipe-separated for batch) |
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| `--save-dir` | str | `results` | Output directory |
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## Notes
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- **Batch Processing**: The number of `--voice-style` files must match the number of `--text` entries
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- **Quality vs Speed**: Higher `--total-step` values produce better quality but take longer
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