Local text-to-speech synthesis using VITS/Piper models with ONNX Runtime. Run TTS locally without cloud APIs or network dependencies.
Get Started
$ dotnet add package LMSupply.SynthesizerReadme
LMSupply.Synthesizer
Local text-to-speech synthesis using VITS/Piper models.
Features
- Zero-config: Models download automatically from HuggingFace
- GPU Acceleration: CUDA, DirectML (Windows), CoreML (macOS)
- MIT Licensed: Piper VITS voices
- Multiple Languages: English, Korean, Japanese, Chinese, and more
Quick Start
using LMSupply.Synthesizer;
// Load the default model
await using var synthesizer = await LocalSynthesizer.LoadAsync("default");
// Synthesize speech
var result = await synthesizer.SynthesizeAsync("Hello, welcome to LMSupply!");
Console.WriteLine($"Duration: {result.DurationSeconds:F2}s");
Console.WriteLine($"Real-time factor: {result.RealTimeFactor:F1}x");
// Save as WAV file
await synthesizer.SynthesizeToFileAsync("Hello world!", "output.wav");
Available Models
| Alias | Voice | Language | Description |
|---|---|---|---|
default | Lessac | en-US | High-quality female |
fast | Ryan | en-US | Fast male voice |
quality | Amy | en-US | High-quality female |
british | Semaine | en-GB | British female |
korean | KSS | ko-KR | Korean female |
japanese | JSUT | ja-JP | Japanese female |
chinese | Huayan | zh-CN | Mandarin female |
GPU Acceleration
# NVIDIA GPU
dotnet add package Microsoft.ML.OnnxRuntime.Gpu
# Windows (AMD/Intel/NVIDIA)
dotnet add package Microsoft.ML.OnnxRuntime.DirectML