Diart: A Python Library for Real-Time Speaker Diarization

Diart: A Python Library for Real-Time Speaker Diarization - Published in JOSS (2024)

https://github.com/juanmc2005/streamingspeakerdiarization

Science Score: 87.0%

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    Published in Journal of Open Source Software
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JOSS Publication

Diart: A Python Library for Real-Time Speaker Diarization
Published
July 07, 2024
Volume 9, Issue 99, Page 5266
Authors
Juan Manuel Coria ORCID
Université Paris-Saclay CNRS, LISN, Orsay, France
Hervé Bredin ORCID
IRIT, Université de Toulouse, CNRS, Toulouse, France
Sahar Ghannay ORCID
Université Paris-Saclay CNRS, LISN, Orsay, France
Sophie Rosset ORCID
Université Paris-Saclay CNRS, LISN, Orsay, France
Khaled Zaouk
Ava, France
Ingo Fruend ORCID
Verbally GmbH, Germany
Bertrand Higy ORCID
Ava, France
Amit Kesari
Indian Institute of Technology, Tirupati, India
Yagna Thakkar
Tridhya Intuit Pvt Ltd, Gujarat, India
Editor
Fei Tao ORCID
Tags
machine learning artificial intelligence speaker diarization speaker embedding speaker clustering real time streaming