Downloads · 30 days
0
nasioutz/phoneme-cue-baker-models
phoneme-cue-baker-models is a text-to-speech model from nasioutz. Use it when you need text read aloud. It is set up for onnx. The card lists the license as mit.
ONNX exports of the Chatterbox Multilingual TTS model and its supporting voice/feature models, packaged for the offline Phoneme Cue / FaceCue baker. The baker uses these graphs to synthesize missing audio from a trans…
Downloads · 30 days
0
Access
Public
Updated Jun 21, 2026
Repo size
3.9 GB
Likes
0
Public
Click a slice to open those files.
.onnx3.7 GB · 97%
From the Hugging Face model README
tts_v1)ONNX exports of the Chatterbox Multilingual TTS model and its supporting voice/feature models, packaged for the offline Phoneme Cue / FaceCue baker. The baker uses these graphs to synthesize missing audio from a transcript and to create a voice bundle from a reference clip, entirely on-device via ONNX Runtime (CPU or DirectML/CUDA).
Graphs are fp32. (They are hosted here rather than on a 2 GB-capped host, so no fp16 conversion is applied.)
tts_v1/)| File | Role |
|---|---|
t3_decoder_kv.onnx | T3 text→speech-token decoder (KV-cache) |
flow_to_mu.onnx | S3Gen flow front (tokens + prompt → CFM conditioning) |
cfm_estimator.onnx | CFM ODE step network |
cfm_euler.onnx | per-step Euler + guidance combine |
hift_vocoder.onnx | HiFT vocoder (mel → waveform) |
voice_encoder.onnx | speaker-embedding encoder |
campplus_xvector.onnx | CAMPPlus speaker x-vector |
s3tokenizer_quantize.onnx | S3 speech tokenizer |
t3_frontend.bin / .json | T3 embedding/Perceiver weights |
grapheme_mtl.json | grapheme tokenizer vocab |
mel_*.npy | creator mel filterbanks (s3gen / VE / s3tok / Kaldi) |
builtin_voice.fcv1 | the built-in voice bundle |
A tts.manifest.json lists each file's URL, SHA256, and size for download + integrity verification.
Distributed under the MIT License (see LICENSE), inherited from Chatterbox (Copyright © 2025
Resemble AI). The pack bundles components under Apache 2.0 (the CosyVoice-lineage S3Gen flow,
S3 tokenizer, CAMPPlus, and ESPnet/WeNet conformer building blocks — Copyright © Alibaba Inc and
others) and MIT (the Real-Time-Voice-Cloning voice encoder). Full attribution is in NOTICE.
This pack is a redistribution of upstream work in ONNX form and is not affiliated with or endorsed by Resemble AI, Alibaba, or the other upstream authors.