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.
Installation
$ pip install pyannote.metrics
Documentation
The documentation is available at http://pyannote.github.io/pyannote-metrics.
Sample notebooks are available here.
Citation
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},
}
Metadata
Release files for pyannote-metrics 4.2.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pyannote_metrics-4.2.0.tar.gz | 1.6 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pyannote_metrics-4.2.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 1.7 MB
Release files / pyannote_metrics-4.2.0.tar.gz
| Download URL | pyannote_metrics-4.2.0.tar.gz |
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| Size | 1.6 MB |
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Release files / pyannote_metrics-4.2.0-py3-none-any.whl
| Download URL | pyannote_metrics-4.2.0-py3-none-any.whl |
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| Tags | Python 3 |
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