pyannote.core

advanced data structures for handling and visualizing temporal segments with attached labels.

Installation

$ pip install pyannote.core

Support for graphical visualization in Jupyter notebooks can be added with:

$ pip install pyannote.core[notebook]

Documentation

The documentation is available at http://pyannote.github.io/pyannote-core.

Sample notebooks are available here.

Citation

If you use pyannote.core in your research, please use the following citation:

@inproceedings{pyannote.metrics,
 author = {Herv\'e Bredin},
 title = {{pyannote.metrics: a toolkit for reproducible evaluation, diagnostic, and error analysis of speaker diarization systems}},
 booktitle = {{Interspeech 2017, 18th Annual Conference of the International Speech Communication Association}},
 year = {2017},
 month = {August},
 address = {Stockholm, Sweden},
 url = {http://pyannote.github.io/pyannote-metrics},
}

Key dates

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  • Released:
Latest release

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PyPI data
Data sourced directly from PyPI's database.
Avatar for hbredin from gravatar.com hbredin

Credits

Author: Hervé BREDIN

Requires

Python >=3.10

Provides Extra

doc notebook test

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6.0.1

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