Matcha-TTS ONNX Models

This repo contains full end-to-end Matcha-TTS ONNX graphs with the HiFiGAN vocoder embedded.

Code:

https://github.com/thewh1teagle/Matcha-TTS/tree/feature/train-on-phonemes

Python wrapper package:

https://pypi.org/project/matcha-onnx/

Files

• matcha-english.onnx - original pretrained English/LJSpeech Matcha-TTS exported to ONNX.
• matcha-he-en.onnx - Hebrew + English IPA fine-tuned single-speaker model exported to ONNX.
• matcha-he-en.ckpt - latest PyTorch Lightning checkpoint for the Hebrew + English model.
• sample-he-en.wav / sample-he-en.m4a - sample generated from matcha-he-en.ckpt.
• sample-he-en.txt - exact sample phonemes and synthesis settings.

Both ONNX files include metadata for:

• matcha.symbols
• matcha.sample_rate
• matcha.n_timesteps
• matcha.embedded_vocoder
• matcha.n_spks

Usage

Use the matcha-onnx package. It reads the symbol table, sample rate, and step count from ONNX metadata.

pip install matcha-onnx
wget -O matcha.onnx https://huggingface.co/thewh1teagle/matcha-tts/resolve/main/matcha-english.onnx

import soundfile as sf
from matcha_onnx import MatchaOnnx

tts = MatchaOnnx("matcha.onnx")
samples, sr = tts.create("Hello from Matcha TTS.", speed=0.95)
sf.write("audio.wav", samples, sr)

For the Hebrew + English model, input must be IPA phonemes, not raw Hebrew or English graphemes.

wget -O matcha-he-en.onnx https://huggingface.co/thewh1teagle/matcha-tts/resolve/main/matcha-he-en.onnx

from matcha_onnx import MatchaOnnx

tts = MatchaOnnx("matcha-he-en.onnx")
samples, sr = tts.create("sˈimu lˈev nosʔˈim jekaʁˈim.", is_phonemes=True)

Audio config: mono, 22050 Hz.