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S4D: SIDEKIT for Diarization

Project description

S4D is an open source package for speaker diarization.
The aim of S4D is to provide an educational and efficient toolkit
for speaker diarization including the whole chain of treatment
that goes from the audio data to the analysis of the system performance.

PREREQUISITES

Sidekit for Diarization requires the following software installed for your platform:

  1. [Python](http://www.python.org)

  2. [NumPy](http://www.numpy.org/)

  3. [Scipy](http://http://www.scipy.org/)

  4. [Pandas](http://http://www.pandas.org/)

  5. [GLPK](https://www.gnu.org/software/glpk/)

  6. [Sphinx 1.1.0 or newer](http://http://sphinx-doc.org/) to build the documentation

  7. [SIDEKIT](https://lium.univ-lemans.fr/sidekit/)

INSTALLATION

We recommend the use of a virtual environment (e.g. [Miniconda](https://conda.io/miniconda.html) or [Virtualenv](https://virtualenv.readthedocs.io/en/latest/)).

TUTORIALS

Once your installation is complete, you can take a look at the [tutorials](https://git-lium.univ-lemans.fr/Meignier/s4d/tree/master/tutorials).

Authors:

Sylvain Meignier & Anthony Larcher & Pierre-Alexandre Broux & Florent Desnous

Version:

0.1.4.1 of 2020/01/23

Project details


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s4d-0.2.6.tar.gz (98.1 kB view hashes)

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