scikit-talk

Scikit-talk is an open-source toolkit for processing collections of real-world conversational speech in Python. The toolkit aims to facilitate the exploration of large collections of transcriptions and annotations of conversational interaction.

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What scikit-talk can do for you

Welcome to Scikit-talk!

Scikit-talk is an open-source toolkit for processing collections of real-world conversational speech in Python. The toolkit aims to facilitate the exploration of large collections of transcriptions and annotations of conversational interaction.

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Installation

Scikit-talk can be installed from PyPI:

python3 -m pip install scikit-talk

Alternatively, you can install the latest development version from GitHub:

git clone git@github.com:elpaco-escience/scikit-talk.git
cd scikit-talk
python3 -m pip install .

Documentation

The user documentation can be found here. To read more about the aims of this software, this paper by Liesenfeld et al. (2021) describes the project in detail.

Contributing

If you want to contribute to the development of scikit-talk, have a look at the contribution guidelines.

Detailed technical information on how to work with the code base can be found in README.dev.md.

Credits

This package was created with Cookiecutter and the NLeSC/python-template.

Keywords
Programming languages
  • Python 98%
  • Shell 2%
License
  • Apache-2.0
</>Source code
Packages
pypi.org

Participating organisations

Radboud University Nijmegen
Netherlands eScience Center

Reference papers

Contributors

BV
Barbara Vreede
AL
Andreas Liesenfeld
author, creator
Radboud University Nijmegen
PG
Parti Gabor
CS
Carsten Schnober
MDK
Maurice De Kleijn
author
Netherlands eScience Center
JQ
Ji Qi
MD
Mark Dingemanse
Lead Applicant
Radboud University Nijmegen

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Updated 12 months ago
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