# TTS ONNX Inference Examples This guide provides examples for running TTS inference using `ExampleONNX.cs`. ## Installation ### Prerequisites - .NET 9.0 SDK or later - [Download .NET SDK](https://dotnet.microsoft.com/download) ### Install dependencies ```bash dotnet restore ``` ## Basic Usage ### Example 1: Default Inference Run inference with default settings: ```bash dotnet run ``` 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: ```bash dotnet run -- \ --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 style (M1.json) for the first text - Use female voice style (F1.json) for the second text - Process both samples in a single batch ### Example 3: High Quality Inference Increase denoising steps for better quality: ```bash dotnet run -- \ --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 (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) | | `--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) | | `--text` | str+ | (long default text) | Text(s) to synthesize (pipe-separated: `|`) | | `--save-dir` | str | `results` | Output directory | ## Notes - **Batch Processing**: The number of `--voice-style` files must match the number of `--text` entries - **Quality vs Speed**: Higher `--total-step` values produce better quality but take longer - **GPU Support**: GPU mode is not supported yet ## Building the Project ### Build for Release ```bash dotnet build -c Release ``` ### Run the compiled executable ```bash ./bin/Release/net9.0/Supertonic ``` ## Project Structure ``` csharp/ ├── ExampleONNX.cs # Main inference script ├── Helper.cs # Helper functions and classes ├── Supertonic.csproj # Project configuration ├── README.md # This file └── results/ # Output directory (created automatically) ```