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Audiomate is a library for working with audio datasets.

Project description


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Audiomate is a library for easy access to audio datasets. It provides the datastructures for accessing/loading different datasets in a generic way. This should ease the use of audio datasets for example for machine learning tasks.


Currently supported datasets:

Currently supported formats:

Indirectly supported datasets (Details):


pip install audiomate

Install the latest development version:

pip install git+



It's recommended to use a virtual environment when developing audiomate. To create one, execute the following command in the project's root directory:

python -m venv .

To install audiomate and all it's dependencies, execute:

pip install -e .

Running the test suite

pip install -e .[dev]
python test

With PyCharm you might have to change the default test runner. Otherwise, it might only suggest to use nose. To do so, go to File > Settings > Tools > Python Integrated Tools (on the Mac it's PyCharm > Preferences > Settings > Tools > Python Integrated Tools) and change the test runner to py.test.

Editing the Documentation

The documentation is written in reStructuredText and transformed into various output formats with the help of Sphinx.

To generate the documentation, execute:

pip install -e .[dev]
cd docs
make html

The generated files are written to docs/_build/html.


Versions is handled using bump2version. To bump the version:

bump2version [major,minor,patch,release,num]

Project details

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Filename, size & hash SHA256 hash help File type Python version Upload date
audiomate-3.0.0-py3-none-any.whl (199.0 kB) Copy SHA256 hash SHA256 Wheel py3
audiomate-3.0.0.tar.gz (134.3 kB) Copy SHA256 hash SHA256 Source None

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