A Dynamic Convolution Framework for Session-Independent Speaker Embedding Learning
Author:
Affiliation:
1. Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, China
Funder
USTC-CMB Joint Laboratory of Artificial Intelligence
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/ielx7/6570655/9970249/10250941.pdf?arnumber=10250941
Reference56 articles.
1. Speaker Recognition by Machines and Humans: A tutorial review
2. Deep neural networks for small footprint text-dependent speaker verification
3. Wespeaker: A Research and Production Oriented Speaker Embedding Learning Toolkit
4. Channel Adversarial Training for Cross-channel Text-independent Speaker Recognition
5. Deep multi-metric learning for text-independent speaker verification
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