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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},
}

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Advanced data structures for handling temporal segments with attached labels.

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