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tacotron2-japanese's Introduction

Tacotron2-Japanese

  • Tacotron2 implementation of Japanese

Links

How to use

  1. Put raw Japanese texts in ./filelists
  2. Put WAV files in ./wav
  3. (Optional) Download NVIDIA's pretrained model
  4. Open ./train.ipynb to install requirements and start training
  5. Download NVIDIA's WaveGlow model
  6. 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.

tacotron2-japanese's People

Contributors

cberyellowstone avatar cjangcjengh avatar fumiama avatar kagura114 avatar starxsky avatar wind4000 avatar

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tacotron2-japanese's Issues

修复默认的log存放路径BUG

@CjangCjengh 抱歉,由于我在本地为了测试方便而将log存放路径写死,现在希望可以改回!!很抱歉给您带来不便

我开始训练这报错了

FP16 Run: False
Dynamic Loss Scaling: True
Distributed Run: False
cuDNN Enabled: True
cuDNN Benchmark: False
Warm starting model from checkpoint 'tacotron2_statedict.pt'
0%
0/614 [00:13<?, ?it/s]

Starting Epoch: 0 Iteration: 0
0%
0/1 [00:13<?, ?it/s]

RuntimeError Traceback (most recent call last)
/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py in _try_get_data(self, timeout)
1162 try:
-> 1163 data = self._data_queue.get(timeout=timeout)
1164 return (True, data)

13 frames
RuntimeError: DataLoader worker (pid 1469) is killed by signal: Killed.

The above exception was the direct cause of the following exception:

RuntimeError Traceback (most recent call last)
/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py in _try_get_data(self, timeout)
1174 if len(failed_workers) > 0:
1175 pids_str = ', '.join(str(w.pid) for w in failed_workers)
-> 1176 raise RuntimeError('DataLoader worker (pid(s) {}) exited unexpectedly'.format(pids_str)) from e
1177 if isinstance(e, queue.Empty):
1178 return (False, None)

RuntimeError: DataLoader worker (pid(s) 1469) exited unexpectedly

关于训练配置

请问一下大佬的训练配置是怎么样的
colab的显卡没扛住,有如下错误
RuntimeError: CUDA out of memory. Tried to allocate 20.00 MiB (GPU 0; 14.76 GiB total capacity; 13.39 GiB already allocated; 17.75 MiB free; 13.41 GiB reserved in total by PyTorch) If reserved memory is >> allocated memory try setting max_split_size_mb to avoid fragmentation. See documentation for Memory Management and PYTORCH_CUDA_ALLOC_CONF

Dataset?

There is a transcript file in the filelist directory, where can I download the dataset for training?

pyopenktalk安装报错

安装pyopenjtalk时,会报出FileNotFoundError错误,从github上直接下载后安装也依旧如此,有什么解决办法吗?
image

train的问题

train.ipynb训练出来之后,再inference.ipynb用的outdir里的模型录出来的只有11秒的噪音,是不是有什么BUG呢?

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