A review of speaker diarization: Recent advances with deep learning

Author:

Park Tae JinORCID,Kanda Naoyuki,Dimitriadis Dimitrios,Han Kyu J.,Watanabe Shinji,Narayanan Shrikanth

Publisher

Elsevier BV

Subject

Human-Computer Interaction,Theoretical Computer Science,Software

Reference246 articles.

1. Addlesee, A., Yu, Y., Eshghi, A., 2020. A comprehensive evaluation of incremental speech recognition and diarization for conversational AI. In: Proceedings of the International Conference on Computational Linguistics. pp. 3492–3503.

2. Ajmera, J., Lathoud, G., McCowan, L., 2004. Clustering and segmenting speakers and their locations in meetings. In: Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing. pp. 605–608.

3. Robust speaker change detection;Ajmera;IEEE Signal Process. Lett.,2004

4. Ajmera, J., Wooters, C., 2003. A robust speaker clustering algorithm. In: Proceedings of IEEE Workshop on Automatic Speech Recognition and Understanding. pp. 411–416.

5. AMI consortium;AMI,2009

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