shadwl/voice-demo

Multilingual TTS demo — 10 languages of Vietnam and Cambodia

A self-contained Gradio app. Clone the folder, install the requirements, run it.

pip install -r requirements.txt
python -u app.py

Everything resolves relative to app.py, so no paths need editing.

Languages

Code	Language	Code	Language
km	Khmer	tyz	Tay-Nung
blt	Tai Dam	ium	Dao (Iu Mien)
rad	Ede	kpm	Kho
jra	Jarai	cma	Mnong
bdq	Bana	cjm	Cham

blt is Tai Dam, a Tai language of Vietnam written in Latin script — not Thailand Thai, despite what the source dataset name suggests.

Contents

app.py                 Gradio app
demo_voices/           one male + one female reference clip per language
checkpoint-60000/      model weights (inference only)

demo_voices/voices.json stores paths relative to itself, and each clip carries the transcript needed as a voice-cloning reference. The clips come from a dev split held out of training.

Notes

• Voice cloning is the default: the chosen reference clip's speaker is copied. Upload your own clip plus its transcript, or pick No reference to let the model invent a voice for the language.
• Long text is split on sentence boundaries (including the Khmer khan ។) and synthesized in batches, then joined. With no reference, the first segment becomes the reference for the rest so the speaker does not drift mid-passage.
• The checkpoint holds inference weights only. Optimizer/scheduler state for resuming training is not included.
• app.py registers its language ids with OmniVoice at startup. Without that step generate() silently drops any code outside its built-in table — nine of these ten are not in it — and would generate with no language conditioning at all.

Model

OmniVoice (Qwen3-0.6B backbone + Higgs audio tokens) finetuned jointly on ~1,820 h across the ten languages above, 60k steps.