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a toolkit for reproducible evaluation, diagnostic, and error analysis of speaker diarization systems

An overview of pyannote.metrics is available as an InterSpeech 2017 paper: it is recommended to read it first, to quickly get an idea whether this tool is for you.

$ pip install pyannote.metrics

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

Sample notebooks are available here.

If you use pyannote.metrics 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},
}