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Easy and efficient storage of large features data in HDF5 file format

Project description

  • The h5features library provides easy to use and efficient storage of large features data on the HDF5 binary file format.

  • It has been primarly designed to store speech features extracted from huge corpora.

  • It is implemented in C++ and exposes Python bindings.

  • The Python package is available on PyPI: pip install h5features.

  • See the complete documentation at https://docs.cognitive-ml.fr/h5features.

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