ISCA Archive Interspeech 2022
ISCA Archive Interspeech 2022

NeMo Open Source Speaker Diarization System

Tae Jin Park, Nithin Rao Koluguri, Fei Jia, Jagadeesh Balam, Boris Ginsburg

We introduce an open-source speaker diarization system which is part of the NeMo conversational AI toolkit. During the Show and Tell session, we will present an interactive system which demonstrates both online and offline speaker diarization. The audience would be able to test the speaker diarization system by recording their voice. We believe that our demo session would be an excellent opportunity to learn and experience how a speaker diarization system can be implemented for real-life applications using an open source toolkit.

Cite as: Park, T.J., Koluguri, N.R., Jia, F., Balam, J., Ginsburg, B. (2022) NeMo Open Source Speaker Diarization System. Proc. Interspeech 2022, 853-854

  author={Tae Jin Park and Nithin Rao Koluguri and Fei Jia and Jagadeesh Balam and Boris Ginsburg},
  title={{NeMo Open Source Speaker Diarization System}},
  booktitle={Proc. Interspeech 2022},