Encoder-Decoder Based Attractors for End-to-End Neural Diarization
Author:
Affiliation:
1. Hitachi, Ltd., Kokubunji-shi, Tokyo, Japan
2. Hitachi, Ltd., Tokyo, Japan
3. Carnegie Mellon University, Pittsburgh, PA, USA
4. Johns Hopkins University, Baltimore, MD, USA
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Acoustics and Ultrasonics,Computer Science (miscellaneous),Computational Mathematics
Link
http://xplorestaging.ieee.org/ielx7/6570655/9657755/09741374.pdf?arnumber=9741374
Reference66 articles.
1. The Third DIHARD Diarization Challenge
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5. Speaker diarization using deep neural network embeddings
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