Speech Toolkit for Malaysian language, https://malaya-speech.readthedocs.io/
See the code.. raw:: html
<p align="center">
<a href="#readme">
<img alt="logo" width="40%" src="https://i.imgur.com/ImYNHnm.png">
</a>
</p>
<p align="center">
<a href="https://pypi.python.org/pypi/malaya-speech"><img alt="Pypi version" src="https://badge.fury.io/py/malaya-speech.svg"></a>
<a href="https://pypi.python.org/pypi/malaya-speech"><img alt="Python3 version" src="https://img.shields.io/pypi/pyversions/malaya-speech.svg"></a>
<a href="https://github.com/huseinzol05/Malaya-Speech/blob/master/LICENSE"><img alt="MIT License" src="https://img.shields.io/github/license/huseinzol05/malaya-speech.svg?color=blue"></a>
<a href="https://pepy.tech/project/malaya-speech"><img alt="total stats" src="https://static.pepy.tech/badge/malaya-speech"></a>
<a href="https://pepy.tech/project/malaya-speech"><img alt="download stats / month" src="https://static.pepy.tech/badge/malaya-speech/month"></a>
<a href="https://discord.gg/aNzbnRqt3A"><img alt="discord" src="https://img.shields.io/badge/discord%20server-malaya-rgb(118,138,212).svg"></a>
</p>
=========
**Malaya-Speech** is a Speech-Toolkit library for Malaysian language, powered by PyTorch.
Documentation
--------------
Stable released documentation is available at https://malaya-speech.readthedocs.io/en/stable/
Installing from the PyPI
----------------------------------
::
$ pip install malaya-speech
It will automatically install all dependencies except for PyTorch. So you can choose your own PyTorch CPU / GPU version.
Only **Python >= 3.6.0**, and **PyTorch >= 1.13** are supported.
If you are a Windows user, make sure read https://malaya.readthedocs.io/en/latest/running-on-windows.html
Development Release
---------------------------------
Install from `master` branch,
::
$ pip install git+https://github.com/mesolitica/malaya-speech.git
We recommend to use **virtualenv** for development.
While development released documentation is available at https://malaya-speech.readthedocs.io/en/latest/
Pretrained Models
------------------
Malaya-Speech also released Malaysian speech pretrained models, simply check at https://huggingface.co/mesolitica
References
-----------
If you use our software for research, please cite:
::
@misc{Malaya-Speech, Speech-Toolkit library for Malaysian language, powered by PyTorch,
author = {Husein, Zolkepli},
title = {Malaya-Speech},
year = {2020},
publisher = {GitHub},
journal = {GitHub repository},
howpublished = {\url{https://github.com/mesolitica/malaya-speech}}
}
Acknowledgement
----------------
Thanks to,
1. `KeyReply <https://www.keyreply.com/>`_ for private V100s cloud.
.. raw:: html
<a href="#readme">
<img alt="logo" width="20%" src="https://image4.owler.com/logo/keyreply_owler_20191024_163259_original.png">
</a>
2. `Nvidia <https://www.nvidia.com/en-us/>`_ for Azure credit.
.. raw:: html
<a href="#readme">
<img alt="logo" width="20%" src="https://www.nvidia.com/content/dam/en-zz/Solutions/about-nvidia/logo-and-brand/01-nvidia-logo-horiz-500x200-2c50-d@2x.png">
</a>
3. `Tensorflow Research Cloud <https://www.tensorflow.org/tfrc>`_ for free TPUs access.
.. raw:: html
<a href="https://www.tensorflow.org/tfrc">
<img alt="logo" width="20%" src="https://2.bp.blogspot.com/-xojf3dn8Ngc/WRubNXxUZJI/AAAAAAAAB1A/0W7o1hR_n20QcWyXHXDI1OTo7vXBR8f7QCLcB/s400/image2.png">
</a>Not written in Markdown, so it's shown here as plain text — view it formatted on GitHub.
754 commits
1 commits
Jupyter Notebook
96.3%
C++
1.8%
Python
1.6%
Speech Toolkit for Malaysian language, https://malaya-speech.readthedocs.io/
See the code.. raw:: html
<p align="center">
<a href="#readme">
<img alt="logo" width="40%" src="https://i.imgur.com/ImYNHnm.png">
</a>
</p>
<p align="center">
<a href="https://pypi.python.org/pypi/malaya-speech"><img alt="Pypi version" src="https://badge.fury.io/py/malaya-speech.svg"></a>
<a href="https://pypi.python.org/pypi/malaya-speech"><img alt="Python3 version" src="https://img.shields.io/pypi/pyversions/malaya-speech.svg"></a>
<a href="https://github.com/huseinzol05/Malaya-Speech/blob/master/LICENSE"><img alt="MIT License" src="https://img.shields.io/github/license/huseinzol05/malaya-speech.svg?color=blue"></a>
<a href="https://pepy.tech/project/malaya-speech"><img alt="total stats" src="https://static.pepy.tech/badge/malaya-speech"></a>
<a href="https://pepy.tech/project/malaya-speech"><img alt="download stats / month" src="https://static.pepy.tech/badge/malaya-speech/month"></a>
<a href="https://discord.gg/aNzbnRqt3A"><img alt="discord" src="https://img.shields.io/badge/discord%20server-malaya-rgb(118,138,212).svg"></a>
</p>
=========
**Malaya-Speech** is a Speech-Toolkit library for Malaysian language, powered by PyTorch.
Documentation
--------------
Stable released documentation is available at https://malaya-speech.readthedocs.io/en/stable/
Installing from the PyPI
----------------------------------
::
$ pip install malaya-speech
It will automatically install all dependencies except for PyTorch. So you can choose your own PyTorch CPU / GPU version.
Only **Python >= 3.6.0**, and **PyTorch >= 1.13** are supported.
If you are a Windows user, make sure read https://malaya.readthedocs.io/en/latest/running-on-windows.html
Development Release
---------------------------------
Install from `master` branch,
::
$ pip install git+https://github.com/mesolitica/malaya-speech.git
We recommend to use **virtualenv** for development.
While development released documentation is available at https://malaya-speech.readthedocs.io/en/latest/
Pretrained Models
------------------
Malaya-Speech also released Malaysian speech pretrained models, simply check at https://huggingface.co/mesolitica
References
-----------
If you use our software for research, please cite:
::
@misc{Malaya-Speech, Speech-Toolkit library for Malaysian language, powered by PyTorch,
author = {Husein, Zolkepli},
title = {Malaya-Speech},
year = {2020},
publisher = {GitHub},
journal = {GitHub repository},
howpublished = {\url{https://github.com/mesolitica/malaya-speech}}
}
Acknowledgement
----------------
Thanks to,
1. `KeyReply <https://www.keyreply.com/>`_ for private V100s cloud.
.. raw:: html
<a href="#readme">
<img alt="logo" width="20%" src="https://image4.owler.com/logo/keyreply_owler_20191024_163259_original.png">
</a>
2. `Nvidia <https://www.nvidia.com/en-us/>`_ for Azure credit.
.. raw:: html
<a href="#readme">
<img alt="logo" width="20%" src="https://www.nvidia.com/content/dam/en-zz/Solutions/about-nvidia/logo-and-brand/01-nvidia-logo-horiz-500x200-2c50-d@2x.png">
</a>
3. `Tensorflow Research Cloud <https://www.tensorflow.org/tfrc>`_ for free TPUs access.
.. raw:: html
<a href="https://www.tensorflow.org/tfrc">
<img alt="logo" width="20%" src="https://2.bp.blogspot.com/-xojf3dn8Ngc/WRubNXxUZJI/AAAAAAAAB1A/0W7o1hR_n20QcWyXHXDI1OTo7vXBR8f7QCLcB/s400/image2.png">
</a>Not written in Markdown, so it's shown here as plain text — view it formatted on GitHub.
754 commits
1 commits
Jupyter Notebook
96.3%
C++
1.8%
Python
1.6%