Instructions to use Ritori/Yue_tacotron2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ritori/Yue_tacotron2 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Ritori/Yue_tacotron2", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Tacotron2-Japanese
- Tacotron2 implementation of Japanese
Links
- Reference: NVIDIA/tacotron2
- Pre-training tacotron2 models
- latest changes can be viewed in this repository
How to use
- Put raw Japanese texts in ./filelists
- Put WAV files in ./wav
- (Optional) Download NVIDIA's pretrained model
- Open ./train.ipynb to install requirements and start training
- Download NVIDIA's WaveGlow model
- Open ./inference.ipynb to generate voice
Cleaners
File ./hparams.py line 30
1. 'japanese_cleaners'
Before
何かあったらいつでも話して下さい。学院のことじゃなく、私事に関することでも何でも
After
nanikaacltaraitsudemohanashItekudasai.gakuiNnokotojanaku,shijinikaNsurukotodemonanidemo.
2. 'japanese_tokenization_cleaners'
Before
何かあったらいつでも話して下さい。学院のことじゃなく、私事に関することでも何でも
After
nani ka acl tara itsu demo hanashi te kudasai. gakuiN no koto ja naku, shiji nikaNsuru koto de mo naNdemo.
3. 'japanese_accent_cleaners'
Before
何かあったらいつでも話して下さい。学院のことじゃなく、私事に関することでも何でも
After
:na)nika a)cltara i)tsudemo ha(na)shIte ku(dasa)i.:ga(kuiNno ko(to)janaku,:shi)jini ka(Nsu)ru ko(to)demo na)nidemo.
4. 'japanese_phrase_cleaners'
Before
何かあったらいつでも話して下さい。学院のことじゃなく、私事に関することでも何でも
After
nanika acltara itsudemo hanashIte kudasai. gakuiNno kotojanaku, shijini kaNsuru kotodemo nanidemo.
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