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TTS ONNX Inference Examples

This guide provides examples for running TTS inference using ExampleONNX.cs.

Installation

Prerequisites

Install dependencies

dotnet restore

Basic Usage

Example 1: Default Inference

Run inference with default settings:

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:

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:

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

dotnet build -c Release

Run the compiled executable

./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)