A python wrapper for OpenJTalk

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Project description

pyopenjtalk

A python wrapper for OpenJTalk.

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. 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. 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)

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).

TTS

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

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 for more details about full-context labels.

Grapheme-to-phoeneme (G2P)

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). If you want to use the feature, please install pyopenjtalk as below;

pip install pyopenjtalk[marine]

And then, you can use the option as the following examples;

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)
Open JTalk: Modified BSD license (COPYING)
htsvoice in this repository: Please check pyopenjtalk/htsvoice/README.md.
marine: Apache 2.0 license (LICENSE)

Acknowledgements

HTS Working Group for their dedicated efforts to develop and maintain Open JTalk.

Project details

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Project links

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This version

0.3.0

Apr 19, 2023

0.2.0

Apr 19, 2023

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MD5	`248d0f63a46ee655d659ad6342cc4547`
BLAKE2b-256	`07d6f6b0008d509c8b4efdffd0b27b2b3068d005527fb2c2d2768058e05b410c`

Algorithm	Hash digest
SHA256	`5c7287d62260b34828c329330e8afbabd5edc92d79c398ee12d2c285efef3084`
MD5	`39403849b2b4ebfc46b0a9fd04328914`
BLAKE2b-256	`94d637e110fb140dc34b16410c567bc48aa62854f7842559880ea46b205528a2`

Algorithm	Hash digest
SHA256	`c54f7a2d433d2d09dc8d5095ae299b8905a2f8ddf68224e8a56b64fbd23f896a`
MD5	`0b68dc966a53e46be77ba2a702b527fe`
BLAKE2b-256	`df033f967d09b60fe4e7efb40352e2cdadae73aee1e4f53e1110f93a9269e647`

Algorithm	Hash digest
SHA256	`1302eecec0fde250cac913ea20e4c7e1e747981e8cb39ac039a08202c30b978d`
MD5	`606dfd6f6206582ca4ff1b677ef40403`
BLAKE2b-256	`a4f7abef5b94cc6479e9853bb25989b93a18ebc6a7f95b05a6cb94b9d812d9c2`

Algorithm	Hash digest
SHA256	`44e72ed8c22f7d33dbf5c3c833e2d1c74f3ac6dba81aba2c08662b37d2efdbc7`
MD5	`febcaa09ec9700447e5b0bbee0bfe511`
BLAKE2b-256	`cec008ed1f029e9f1285436b4cd10cacbc50082f352160e4d7be3add577ff3f4`

Algorithm	Hash digest
SHA256	`d3248c9c6eff6042b8cfd0edb8066a79a7f046861e08635df878385491556e35`
MD5	`86e8b8e6e40461a8377a32ebf4e59666`
BLAKE2b-256	`e5b0215dfc059526b52fe6417965ff1e85fb2a7e6b03e752237e6fb5810a3b26`

Algorithm	Hash digest
SHA256	`a0eb8a3cbe1a76eb520d0eb966229b4d7f11921a95f3d6ac3f0c606985816fad`
MD5	`c94468ba5092fdb5b82df06cadc5c340`
BLAKE2b-256	`d47b0238c429569776e2c0bdad0dd02b3ed4befd8512424e50ea9732d3b0a1a9`

Algorithm	Hash digest
SHA256	`c109225e06721641fc15a3f8fc8175b786549a0031fc4a2df2dcff0c36cc1625`
MD5	`bd8b7c4e6cfd431b6e6931935b72f1aa`
BLAKE2b-256	`b17241b0ff88cc44148dd4c65918f539c8b889333dc7929a6dd7f1139054ae1b`

Algorithm	Hash digest
SHA256	`15efb1ecc34fb055233c245b598fa40f06b0f2c8c55c61589365e6f786071200`
MD5	`e6bf596622c0f07b7ab177f2892d08fa`
BLAKE2b-256	`8c15f067fd4095f3cf46195e7b1761eadc2ea29fc593a0a408428f9c583c4f32`

Algorithm	Hash digest
SHA256	`b49c7508d367f4301b058138024d8ac0f53199fc39ad6031bb26b42d1b6c8fd1`
MD5	`9c834adb52042fa72e275aad59944176`
BLAKE2b-256	`d522c3135f76a5915a0cfb4f2d28bf3b972224a85940a0795c828bb3a0c11f2b`

Algorithm	Hash digest
SHA256	`0cc6caed6865525dc63ed6a0954a9db95e376f5f3f11e291d5f22b78a10442d8`
MD5	`336a5d2bee5bc0065979235d96aebcd8`
BLAKE2b-256	`99c4143d4e55f61ce0d44438fce4ed4245ca646b7ea2e34e9e4b4ec35b34225e`

Algorithm	Hash digest
SHA256	`25d6fd674bbbfa99e4303ed3229107cf7b2c6b2fa8d6cc2b33f438ab3e1d1717`
MD5	`c2dd679d52e604a60d202b9cc7256bae`
BLAKE2b-256	`e961ea1299f759407ff118f764488dbbba8b69a7e32acbc0f0861189c85ab160`

Algorithm	Hash digest
SHA256	`7177a203d57a95fd1f16786513d012b0dccaf6964e17e20b82c6cf99d5c6d4a7`
MD5	`b23b1ac87ee6dc45e885b3d1756bdf30`
BLAKE2b-256	`7e936ea55e99698a9613f2f5de0ba6bc338eea58c0159823f24dc6836db4f238`

Algorithm	Hash digest
SHA256	`3fad066cedf35bfc77b5c15d877bfbd0bfa1a2d50d88754f23cbdc297642b001`
MD5	`6195ec717004945fdc8a8a6ec4c101b6`
BLAKE2b-256	`6e30cddc35b439b8152a43b13919bdccc40b59f4d6f3b49dfd9ed0c687feb9fe`

Algorithm	Hash digest
SHA256	`722a2d2f4d0b7fb28f0c5288e1b1a6a86bab8dc482f4be00705043f3c1ed8b3f`
MD5	`895258b8bf32f7e806bda654bbed1d7c`
BLAKE2b-256	`1cb67db0beca74dbc0b3f8fdb3cb5767271a67b84ddcdc87663fb89200d0d388`

Algorithm	Hash digest
SHA256	`cd843a153f9631833c338a0f9d9a9915837fa15138424bee5e66a19bd0651b54`
MD5	`6d8a69ac55e1d3708a6912508b5405c3`
BLAKE2b-256	`4e1bd77c2d547c361642ece201366f23e12fd50dd79305bb2f9862a1c3cabeec`

pyopenjtalk-prebuilt 0.3.0

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pyopenjtalk

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Run text processing frontend only

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About run_marine option

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About `run_marine` option

Algorithm	Hash digest
SHA256	`d609cc1fbcc4aff2d672af2b09fb28333fd6f20bb03fd0914d45fe7f7d9d1561`
MD5	`71614b63fe4b6ceecb66169b6462c19b`
BLAKE2b-256	`afcc6cf9e04bc7bb1a63d624ce6d969003e5614dc61ca4c6b8e3f332fd811951`

Algorithm	Hash digest
SHA256	`17d1d8e181159a7910fa741bc2f95712e94874b52b2f480a993295fa56fea71a`
MD5	`dd150e00d4f11f3b7936cec48e7da8e8`
BLAKE2b-256	`c6b9e21568726054bdd8f9cb32c4e97814fb92d9599ff2bfe789d7fa93ed3b85`

Algorithm	Hash digest
SHA256	`071614d174511d107c18f4e2a403a71c8c0b26d8b06b041cb5b2d54feaeb4bf6`
MD5	`c7760c62479ad9759fe46602e01a2d8b`
BLAKE2b-256	`a9e58a693e697a7fda7be5224ba9bccaadb15542eeb54f1e5687b4b1be7f407d`

Algorithm	Hash digest
SHA256	`5bff808299154fc4889209800c0ac1f803caf2213eef6c99c0dffc50d8c2c85c`
MD5	`1596f560ac71a3e4d4953e2ad855b67e`
BLAKE2b-256	`18010c0642a394b3a025beefc3a2a668dcfb73d01da557d1f0f58275715718e7`

Algorithm	Hash digest
SHA256	`5f8453909c958d45ec1d51e23905e12a778cc5e24eda9d071189bc61426d752f`
MD5	`6e43b47168a3d5338c710389909783bb`
BLAKE2b-256	`d4fc3ceb3e99843d4a23a8c4bc848a907f4a0d55b2f70a7e1027c36c5a0b251f`

Algorithm	Hash digest
SHA256	`903e5d621414610701ffcbf3b32c340a6192a2c2e48030350b7caeb839de0851`
MD5	`d12a13fab429f5765ad93996cb2484c8`
BLAKE2b-256	`1183d86ed0f031083a351501983550989706396a8db6aec58317c3aed2e80ba5`

Algorithm	Hash digest
SHA256	`60784e3fdfbe3a1518db06d5f643afff723f55f41dee2934bca9d0902def27d4`
MD5	`dd8e388ec6d5a6aedf2b7b964479996f`
BLAKE2b-256	`5d567933767d0a5e61331cecd1556ca5f3fa41d8521ae3b5d2ee68b53dec701e`

Algorithm	Hash digest
SHA256	`f1f9b435874617f270ee3ac734e28b9247716ccaf0fed012fda797f8afc48bf1`
MD5	`31746eafc7bf6c9406c7bc2f77a5499b`
BLAKE2b-256	`eee90c39e66ae65456df5b977ad963c07e6ec507a934a4b8c0c52132ef834db8`

Algorithm	Hash digest
SHA256	`f4c5d93073cc27a972c11410f545ab27879c180a5a64a0f639189406be14ffd1`
MD5	`de57f8e36b69634ab8030bb46c1d51ad`
BLAKE2b-256	`d9e5337ed7bb30bd0cd558ac00919c45b0f8d7f3539170e8782c5fc4df32b8a8`

Algorithm	Hash digest
SHA256	`0c6225adab5e245726b9d7c104bec16427ce968e85fdac411e47ab15ba76e7c2`
MD5	`e9fb505331ff6909779725b01efe0281`
BLAKE2b-256	`e33fe1a276a1960a36f897187b91c04d8ccc8340119836640b0424943b5260d5`