s4d · PyPI

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:

[Python](http://www.python.org)
[NumPy](http://www.numpy.org/)
[Scipy](http://http://www.scipy.org/)
[Pandas](http://http://www.pandas.org/)
[GLPK](https://www.gnu.org/software/glpk/)
[Sphinx 1.1.0 or newer](http://http://sphinx-doc.org/) to build the documentation
[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

Metadata

Release files for s4d 0.2.6

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for s4d 0.2.6
File	Size	Uploaded
s4d-0.2.6.tar.gz	98.1 kB	Sep 3, 2021	Details

Release files / s4d-0.2.6.tar.gz

Download URL	s4d-0.2.6.tar.gz
Size	98.1 kB
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SHA-256 checksum How to use checksums	`5d16bfb2c1d0340b28ec839759a8dc3ef2b355fefc562da162d07fa366821758`
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Upload date	Sep 3, 2021
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