Online Neural Diarization of Unlimited Numbers of Speakers Using Global and Local Attractors
Author:
Affiliation:
1. Hitachi, Ltd., Kokubunji-shi, Tokyo, Japan
2. Carnegie Mellon University, Pittsburgh, PA, USA
3. 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/ielx7/6570655/9970249/10003998.pdf?arnumber=10003998
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4. Transformer-XL: Attentive Language Models beyond a Fixed-Length Context
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