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Speech-Toolkit for bahasa Malaysia, powered by Deep Learning Tensorflow.

Project description

Malaya-Speech is a Speech-Toolkit library for bahasa Malaysia, powered by Deep Learning Tensorflow.

Documentation

Proper documentation is available at https://malaya-speech.readthedocs.io/

Installing from the PyPI

CPU version

$ pip install malaya-speech

GPU version

$ pip install malaya-speech-gpu

Only Python 3.6.x and above and Tensorflow 1.10 and above but not 2.0 are supported.

Features

  • Emotion Detection

    Detect emotions in speech using Pretrained Malaya-Speech models.

  • Gender Detection

    Detect genders in speech using Pretrained Malaya-Speech models.

  • Noise Reduction

    Reduce multilevel noises using Pretrained Malaya-Speech models.

  • Speaker Vector

    Calculate similarity between speakers using Pretrained Malaya-Speech models.

  • Speech Enhancement

    enhance speech using Pretrained Malaya-Speech models.

  • Voice Activity Detection

    Detect voice activities using Pretrained Malaya-Speech models.

References

If you use our software for research, please cite:

@misc{Malaya, Speech-Toolkit library for bahasa Malaysia, powered by Deep Learning Tensorflow,
  author = {Husein, Zolkepli},
  title = {Malaya-Speech},
  year = {2020},
  publisher = {GitHub},
  journal = {GitHub repository},
  howpublished = {\url{https://github.com/huseinzol05/malaya-speech}}
}

Acknowledgement

Thanks to Im Big, LigBlou, Mesolitica and KeyReply for sponsoring AWS, GCP and private cloud to train Malaya models.

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