
Japanese TTS with deepvoice3_pytorch by r9y9. (See <https://github.com/r9y9/deepvoice3_pytorch>. Checked commit id: a5c24624bad314db5a5dcb0ea320fc3623a94f15)

To use this model, replace `hparam.py` and `deepvoice3_pytorch/frontend/jp/__init__.py` in the git project.

Please use `environment-export.yml` to have compatible combination of required softwares. (`torch`, `mecab-python3`, `python`, `librosa`, `numba`, `numpy`, `protobuf`, `torch` are not compatible with latest version as of 2023-05-28.)

Trained on JSUT dataset by Shinnosuke Takamichi. See <https://sites.google.com/site/shinnosuketakamichi/publication/jsut> for their term of use.  
Ryosuke Sonobe, Shinnosuke Takamichi and Hiroshi Saruwatari,  "*JSUT corpus: free large-scale Japanese speech corpus for end-to-end speech synthesis,*" arXiv preprint, 1711.00354, 2017.

```
The deepvoice3_pytorch package is licensed under the MIT "Expat" License:

Copyright (c) 2017: Ryuichi Yamamoto.
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

Part of code was adapted from https://github.com/facebookresearch/fairseq-py
Copyright (c) 2017-present, Facebook, Inc.
Thier licenses apply.
```
{"language": ["ja"], "license": "cc-by-nc-4.0", "pipeline_tag": "text-to-speech"}
text-to-speech ja license:cc-by-nc-4.0 region:us
TAGS
#text-to-speech #ja #license-cc-by-nc-4.0 #region-us 


Japanese TTS with deepvoice3_pytorch by r9y9. (See <URL Checked commit id: a5c24624bad314db5a5dcb0ea320fc3623a94f15)

To use this model, replace 'URL' and 'deepvoice3_pytorch/frontend/jp/__init__.py' in the git project.

Please use 'URL' to have compatible combination of required softwares. ('torch', 'mecab-python3', 'python', 'librosa', 'numba', 'numpy', 'protobuf', 'torch' are not compatible with latest version as of 2023-05-28.)

Trained on JSUT dataset by Shinnosuke Takamichi. See <URL for their term of use.  
Ryosuke Sonobe, Shinnosuke Takamichi and Hiroshi Saruwatari,  "*JSUT corpus: free large-scale Japanese speech corpus for end-to-end speech synthesis,*" arXiv preprint, 1711.00354, 2017.


TAGS
#text-to-speech #ja #license-cc-by-nc-4.0 #region-us 
