TTS ONNX Inference Examples
This guide provides examples for running TTS inference using example_onnx.
Installation
This project uses Swift Package Manager (SPM) for dependency management.
Prerequisites
- Swift 5.9 or later
- macOS 13.0 or later
Build the project
swift build -c release
Basic Usage
Example 1: Default Inference
Run inference with default settings:
.build/release/example_onnx
This will use:
- 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
- Number of generations: 4
Example 2: Batch Inference
Process multiple voice styles and texts at once:
.build/release/example_onnx \
--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.|The weather is beautiful and sunny outside. A gentle breeze makes the air feel fresh and pleasant."
This will:
- Generate speech for 2 different voice-text pairs
- Use male voice (M1.json) for the first text
- Use female voice (F1.json) for the second text
- Process both samples in a single batch
Example 3: High Quality Inference
Increase denoising steps for better quality:
.build/release/example_onnx \
--total-step 10 \
--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
- Produce higher quality output at the cost of slower inference
Available Arguments
| 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) |
--n-test |
int | 4 | Number of times to generate each sample |
--voice-style |
str+ | assets/voice_styles/M1.json |
Voice style file path(s) |
--text |
str+ | (long default text) | Text(s) to synthesize |
--save-dir |
str | results |
Output directory |
Notes
- Batch Processing: The number of
--voice-stylefiles must match the number of--textentries - Quality vs Speed: Higher
--total-stepvalues produce better quality but take longer - GPU Support: GPU mode is not supported yet