7 Commits

Author	SHA1	Message	Date
Fangjun Kuang	fba5e67d5e	Fix CI tests. (#1974) ... - Introduce unified AMP helpers (create_grad_scaler, torch_autocast) to handle deprecations in PyTorch ≥2.3.0 - Replace direct uses of torch.cuda.amp.GradScaler and torch.cuda.amp.autocast with the new utilities across all training and inference scripts - Update all torch.load calls to include weights_only=False for compatibility with newer PyTorch versions	2025-07-01 13:47:55 +08:00
zr_jin	1c4dd464a0	Performed end to end testing on the matcha recipe (#1797) ... * minor fixes to the `ljspeech/matcha` recipe	2024-12-08 03:18:15 +08:00
Han Zhu	18fa6a0fec	Fix LibriTTS prepare.sh (#1815)	2024-11-29 11:45:05 +08:00
Fangjun Kuang	516b4869b3	Add Matcha-TTS (#1773)	2024-10-29 15:04:04 +08:00
Fangjun Kuang	15bd9a841e	add CI for ljspeech (#1548)	2024-03-13 17:39:01 +08:00
Zengwei Yao	d89f4ea149	Use piper_phonemize as text tokenizer in ljspeech recipe (#1511) ... * use piper_phonemize as text tokenizer in ljspeech recipe * modify usage of tokenizer in vits/train.py * update docs	2024-02-29 10:13:22 +08:00
Zengwei Yao	0622dea30d	Add a TTS recipe VITS on LJSpeech dataset (#1372) ... * first commit * replace phonimizer with g2p * use Conformer as text encoder * modify training script, clean codes * rename directory * convert text to tokens in data preparation stage * fix tts_datamodule.py * support onnx export and testing the exported onnx model * add doc * add README.md * fix style	2023-11-29 21:28:38 +08:00