# pyopenjtalk
[](https://pypi.python.org/pypi/pyopenjtalk)
[](https://github.com/r9y9/pyopenjtalk/actions/workflows/ci.yaml)
[](https://app.travis-ci.com/r9y9/pyopenjtalk)
[](LICENSE.md)
[](https://zenodo.org/badge/latestdoi/143748865)
A python wrapper for [OpenJTalk](http://open-jtalk.sp.nitech.ac.jp/).
The package consists of two core components:
- Text processing frontend based on OpenJTalk
- Speech synthesis backend using HTSEngine
## Notice
- The package is built with the [modified version of OpenJTalk](https://github.com/r9y9/open_jtalk). The modified version provides the same functionality with some improvements (e.g., cmake support) but is technically different from the one from HTS working group.
- The package also uses the [modified version of hts_engine_API](https://github.com/r9y9/hts_engine_API). The same applies as above.
Before using the pyopenjtalk package, please have a look at the LICENSE for the two software.
## Build requirements
The python package relies on cython to make python bindings for open_jtalk and hts_engine_API. You must need the following tools to build and install pyopenjtalk:
- C/C++ compilers (to build C/C++ extentions)
- cmake
- cython
## Supported platforms
- Linux
- Mac OSX
- Windows (MSVC) (see [this PR](https://github.com/r9y9/pyopenjtalk/pull/13))
## Installation
```
pip install pyopenjtalk
```
## Development
To build the package locally, you will need to make sure to clone open_jtalk and hts_engine_API.
```
git submodule update --recursive --init
```
and then run
```
pip install -e .
```
## Quick demo
Please check the notebook version [here (nbviewer)](https://nbviewer.jupyter.org/github/r9y9/pyopenjtalk/blob/master/docs/notebooks/Demo.ipynb).
### TTS
```py
In [1]: import pyopenjtalk
In [2]: from scipy.io import wavfile
In [3]: x, sr = pyopenjtalk.tts("おめでとうございます")
In [4]: wavfile.write("test.wav", sr, x.astype(np.int16))
```
### Run text processing frontend only
```py
In [1]: import pyopenjtalk
In [2]: pyopenjtalk.extract_fullcontext("こんにちは")
Out[2]:
['xx^xx-sil+k=o/A:xx+xx+xx/B:xx-xx_xx/C:xx_xx+xx/D:xx+xx_xx/E:xx_xx!xx_xx-xx/F:xx_xx#xx_xx@xx_xx|xx_xx/G:5_5%0_xx_xx/H:xx_xx/I:xx-xx@xx+xx&xx-xx|xx+xx/J:1_5/K:1+1-5',
'xx^sil-k+o=N/A:-4+1+5/B:xx-xx_xx/C:09_xx+xx/D:xx+xx_xx/E:xx_xx!xx_xx-xx/F:5_5#0_xx@1_1|1_5/G:xx_xx%xx_xx_xx/H:xx_xx/I:1-5@1+1&1-1|1+5/J:xx_xx/K:1+1-5',
'sil^k-o+N=n/A:-4+1+5/B:xx-xx_xx/C:09_xx+xx/D:xx+xx_xx/E:xx_xx!xx_xx-xx/F:5_5#0_xx@1_1|1_5/G:xx_xx%xx_xx_xx/H:xx_xx/I:1-5@1+1&1-1|1+5/J:xx_xx/K:1+1-5',
'k^o-N+n=i/A:-3+2+4/B:xx-xx_xx/C:09_xx+xx/D:xx+xx_xx/E:xx_xx!xx_xx-xx/F:5_5#0_xx@1_1|1_5/G:xx_xx%xx_xx_xx/H:xx_xx/I:1-5@1+1&1-1|1+5/J:xx_xx/K:1+1-5',
'o^N-n+i=ch/A:-2+3+3/B:xx-xx_xx/C:09_xx+xx/D:xx+xx_xx/E:xx_xx!xx_xx-xx/F:5_5#0_xx@1_1|1_5/G:xx_xx%xx_xx_xx/H:xx_xx/I:1-5@1+1&1-1|1+5/J:xx_xx/K:1+1-5',
'N^n-i+ch=i/A:-2+3+3/B:xx-xx_xx/C:09_xx+xx/D:xx+xx_xx/E:xx_xx!xx_xx-xx/F:5_5#0_xx@1_1|1_5/G:xx_xx%xx_xx_xx/H:xx_xx/I:1-5@1+1&1-1|1+5/J:xx_xx/K:1+1-5',
'n^i-ch+i=w/A:-1+4+2/B:xx-xx_xx/C:09_xx+xx/D:xx+xx_xx/E:xx_xx!xx_xx-xx/F:5_5#0_xx@1_1|1_5/G:xx_xx%xx_xx_xx/H:xx_xx/I:1-5@1+1&1-1|1+5/J:xx_xx/K:1+1-5',
'i^ch-i+w=a/A:-1+4+2/B:xx-xx_xx/C:09_xx+xx/D:xx+xx_xx/E:xx_xx!xx_xx-xx/F:5_5#0_xx@1_1|1_5/G:xx_xx%xx_xx_xx/H:xx_xx/I:1-5@1+1&1-1|1+5/J:xx_xx/K:1+1-5',
'ch^i-w+a=sil/A:0+5+1/B:xx-xx_xx/C:09_xx+xx/D:xx+xx_xx/E:xx_xx!xx_xx-xx/F:5_5#0_xx@1_1|1_5/G:xx_xx%xx_xx_xx/H:xx_xx/I:1-5@1+1&1-1|1+5/J:xx_xx/K:1+1-5',
'i^w-a+sil=xx/A:0+5+1/B:xx-xx_xx/C:09_xx+xx/D:xx+xx_xx/E:xx_xx!xx_xx-xx/F:5_5#0_xx@1_1|1_5/G:xx_xx%xx_xx_xx/H:xx_xx/I:1-5@1+1&1-1|1+5/J:xx_xx/K:1+1-5',
'w^a-sil+xx=xx/A:xx+xx+xx/B:xx-xx_xx/C:xx_xx+xx/D:xx+xx_xx/E:5_5!0_xx-xx/F:xx_xx#xx_xx@xx_xx|xx_xx/G:xx_xx%xx_xx_xx/H:1_5/I:xx-xx@xx+xx&xx-xx|xx+xx/J:xx_xx/K:1+1-5']
```
Please check `lab_format.pdf` in [HTS-demo_NIT-ATR503-M001.tar.bz2](http://hts.sp.nitech.ac.jp/archives/2.3/HTS-demo_NIT-ATR503-M001.tar.bz2) for more details about full-context labels.
### Grapheme-to-phoeneme (G2P)
```py
In [1]: import pyopenjtalk
In [2]: pyopenjtalk.g2p("こんにちは")
Out[2]: 'k o N n i ch i w a'
In [3]: pyopenjtalk.g2p("こんにちは", kana=True)
Out[3]: 'コンニチワ'
```
### About `run_marine` option
After v0.3.0, the `run_marine` option has been available for estimating the Japanese accent with the DNN-based method (see [marine](https://github.com/6gsn/marine)). If you want to use the feature, please install pyopenjtalk as below;
```shell
pip install pyopenjtalk[marine]
```
And then, you can use the option as the following examples;
```python
In [1]: import pyopenjtalk
In [2]: x, sr = pyopenjtalk.tts("おめでとうございます", run_marine=True) # for TTS
In [3]: label = pyopenjtalk.extract_fullcontext("こんにちは", run_marine=True) # for text processing frontend only
```
## LICENSE
- pyopenjtalk: MIT license ([LICENSE.md](LICENSE.md))
- Open JTalk: Modified BSD license ([COPYING](https://github.com/r9y9/open_jtalk/blob/1.10/src/COPYING))
- htsvoice in this repository: Please check [pyopenjtalk/htsvoice/README.md](pyopenjtalk/htsvoice/README.md).
- marine: Apache 2.0 license ([LICENSE](https://github.com/6gsn/marine/blob/main/LICENSE))
## Acknowledgements
HTS Working Group for their dedicated efforts to develop and maintain Open JTalk.
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"description": "# pyopenjtalk\n\n[](https://pypi.python.org/pypi/pyopenjtalk)\n[](https://github.com/r9y9/pyopenjtalk/actions/workflows/ci.yaml)\n[](https://app.travis-ci.com/r9y9/pyopenjtalk)\n[](LICENSE.md)\n[](https://zenodo.org/badge/latestdoi/143748865)\n\nA python wrapper for [OpenJTalk](http://open-jtalk.sp.nitech.ac.jp/).\n\nThe package consists of two core components:\n\n- Text processing frontend based on OpenJTalk\n- Speech synthesis backend using HTSEngine\n\n## Notice\n\n- The package is built with the [modified version of OpenJTalk](https://github.com/r9y9/open_jtalk). The modified version provides the same functionality with some improvements (e.g., cmake support) but is technically different from the one from HTS working group.\n- The package also uses the [modified version of hts_engine_API](https://github.com/r9y9/hts_engine_API). The same applies as above.\n\nBefore using the pyopenjtalk package, please have a look at the LICENSE for the two software.\n\n## Build requirements\n\nThe python package relies on cython to make python bindings for open_jtalk and hts_engine_API. You must need the following tools to build and install pyopenjtalk:\n\n- C/C++ compilers (to build C/C++ extentions)\n- cmake\n- cython\n\n## Supported platforms\n\n- Linux\n- Mac OSX\n- Windows (MSVC) (see [this PR](https://github.com/r9y9/pyopenjtalk/pull/13))\n\n## Installation\n\n```\npip install pyopenjtalk\n```\n\n## Development\n\nTo build the package locally, you will need to make sure to clone open_jtalk and hts_engine_API.\n\n```\ngit submodule update --recursive --init\n```\n\nand then run\n\n```\npip install -e .\n```\n\n## Quick demo\n\nPlease check the notebook version [here (nbviewer)](https://nbviewer.jupyter.org/github/r9y9/pyopenjtalk/blob/master/docs/notebooks/Demo.ipynb).\n\n### TTS\n\n```py\nIn [1]: import pyopenjtalk\n\nIn [2]: from scipy.io import wavfile\n\nIn [3]: x, sr = pyopenjtalk.tts(\"\u304a\u3081\u3067\u3068\u3046\u3054\u3056\u3044\u307e\u3059\")\n\nIn [4]: wavfile.write(\"test.wav\", sr, x.astype(np.int16))\n```\n\n### Run text processing frontend only\n\n```py\nIn [1]: import pyopenjtalk\n\nIn [2]: pyopenjtalk.extract_fullcontext(\"\u3053\u3093\u306b\u3061\u306f\")\nOut[2]:\n['xx^xx-sil+k=o/A:xx+xx+xx/B:xx-xx_xx/C:xx_xx+xx/D:xx+xx_xx/E:xx_xx!xx_xx-xx/F:xx_xx#xx_xx@xx_xx|xx_xx/G:5_5%0_xx_xx/H:xx_xx/I:xx-xx@xx+xx&xx-xx|xx+xx/J:1_5/K:1+1-5',\n'xx^sil-k+o=N/A:-4+1+5/B:xx-xx_xx/C:09_xx+xx/D:xx+xx_xx/E:xx_xx!xx_xx-xx/F:5_5#0_xx@1_1|1_5/G:xx_xx%xx_xx_xx/H:xx_xx/I:1-5@1+1&1-1|1+5/J:xx_xx/K:1+1-5',\n'sil^k-o+N=n/A:-4+1+5/B:xx-xx_xx/C:09_xx+xx/D:xx+xx_xx/E:xx_xx!xx_xx-xx/F:5_5#0_xx@1_1|1_5/G:xx_xx%xx_xx_xx/H:xx_xx/I:1-5@1+1&1-1|1+5/J:xx_xx/K:1+1-5',\n'k^o-N+n=i/A:-3+2+4/B:xx-xx_xx/C:09_xx+xx/D:xx+xx_xx/E:xx_xx!xx_xx-xx/F:5_5#0_xx@1_1|1_5/G:xx_xx%xx_xx_xx/H:xx_xx/I:1-5@1+1&1-1|1+5/J:xx_xx/K:1+1-5',\n'o^N-n+i=ch/A:-2+3+3/B:xx-xx_xx/C:09_xx+xx/D:xx+xx_xx/E:xx_xx!xx_xx-xx/F:5_5#0_xx@1_1|1_5/G:xx_xx%xx_xx_xx/H:xx_xx/I:1-5@1+1&1-1|1+5/J:xx_xx/K:1+1-5',\n'N^n-i+ch=i/A:-2+3+3/B:xx-xx_xx/C:09_xx+xx/D:xx+xx_xx/E:xx_xx!xx_xx-xx/F:5_5#0_xx@1_1|1_5/G:xx_xx%xx_xx_xx/H:xx_xx/I:1-5@1+1&1-1|1+5/J:xx_xx/K:1+1-5',\n'n^i-ch+i=w/A:-1+4+2/B:xx-xx_xx/C:09_xx+xx/D:xx+xx_xx/E:xx_xx!xx_xx-xx/F:5_5#0_xx@1_1|1_5/G:xx_xx%xx_xx_xx/H:xx_xx/I:1-5@1+1&1-1|1+5/J:xx_xx/K:1+1-5',\n'i^ch-i+w=a/A:-1+4+2/B:xx-xx_xx/C:09_xx+xx/D:xx+xx_xx/E:xx_xx!xx_xx-xx/F:5_5#0_xx@1_1|1_5/G:xx_xx%xx_xx_xx/H:xx_xx/I:1-5@1+1&1-1|1+5/J:xx_xx/K:1+1-5',\n'ch^i-w+a=sil/A:0+5+1/B:xx-xx_xx/C:09_xx+xx/D:xx+xx_xx/E:xx_xx!xx_xx-xx/F:5_5#0_xx@1_1|1_5/G:xx_xx%xx_xx_xx/H:xx_xx/I:1-5@1+1&1-1|1+5/J:xx_xx/K:1+1-5',\n'i^w-a+sil=xx/A:0+5+1/B:xx-xx_xx/C:09_xx+xx/D:xx+xx_xx/E:xx_xx!xx_xx-xx/F:5_5#0_xx@1_1|1_5/G:xx_xx%xx_xx_xx/H:xx_xx/I:1-5@1+1&1-1|1+5/J:xx_xx/K:1+1-5',\n'w^a-sil+xx=xx/A:xx+xx+xx/B:xx-xx_xx/C:xx_xx+xx/D:xx+xx_xx/E:5_5!0_xx-xx/F:xx_xx#xx_xx@xx_xx|xx_xx/G:xx_xx%xx_xx_xx/H:1_5/I:xx-xx@xx+xx&xx-xx|xx+xx/J:xx_xx/K:1+1-5']\n```\n\nPlease check `lab_format.pdf` in [HTS-demo_NIT-ATR503-M001.tar.bz2](http://hts.sp.nitech.ac.jp/archives/2.3/HTS-demo_NIT-ATR503-M001.tar.bz2) for more details about full-context labels.\n\n\n### Grapheme-to-phoeneme (G2P)\n\n```py\nIn [1]: import pyopenjtalk\n\nIn [2]: pyopenjtalk.g2p(\"\u3053\u3093\u306b\u3061\u306f\")\nOut[2]: 'k o N n i ch i w a'\n\nIn [3]: pyopenjtalk.g2p(\"\u3053\u3093\u306b\u3061\u306f\", kana=True)\nOut[3]: '\u30b3\u30f3\u30cb\u30c1\u30ef'\n```\n\n### About `run_marine` option\n\nAfter v0.3.0, the `run_marine` option has been available for estimating the Japanese accent with the DNN-based method (see [marine](https://github.com/6gsn/marine)). 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