mah92/vocos-matcha-16khz

Vocos Matcha 16 kHz (80 mels) — sherpa-onnx vocoder

Vocos vocoder by Ali Mahmoudi (@mah92), trained to pair with Matcha-TTS 16 kHz models, exported for sherpa-onnx.

Matcha compatibility

The well-known vocos-16khz-univ.onnx is not compatible with Matcha models — it was trained on a different mel style, and produces near-silent audio with Matcha mels.

This model was trained on the same mel style Matcha uses (slaney norm, slaney mel scale, f_min 0, f_max 8000, 80 bins, 16 kHz), so it works with Matcha mels directly — no tricks needed.

Training

• Repo: bsc-vocos (langtech-bsc/vocos@matcha fork, with the matcha-mel patch)
• Data: LibriSpeech 16 kHz
• Best checkpoint: step 964,650 (epoch 58), val_loss 3.9397, UTMOS ≈ 3.37, PESQ ≈ 2.6

Usage with sherpa-onnx

import sherpa_onnx

tts = sherpa_onnx.OfflineTts(sherpa_onnx.OfflineTtsConfig(
    model=sherpa_onnx.OfflineTtsModelConfig(
        matcha=sherpa_onnx.OfflineTtsMatchaModelConfig(
            acoustic_model="matcha-fa_en-zahra-16000-5.onnx",
            vocoder="vocos-matcha-16khz.onnx",
            tokens="tokens.txt",
            data_dir="espeak-ng-data",
            noise_scale=1.0,
            length_scale=1.0,
        ),
        num_threads=4,
    )
))
audio = tts.generate("سلام، این یک آزمایش است.", sid=0, speed=1.0)

Files

• vocos-matcha-16khz.onnx — vocoder ONNX
• vocos-matcha-16KHz.yaml — training config
• vocos16_loss_curves.png — training curves

Pairing rule

Acoustic model must be Matcha-TTS, 16 kHz, 80 mels (slaney) — e.g. mah92/Zahra-FA_EN-16KHz-Matcha-TTS-Model

Author

Ali Mahmoudi (@mah92)