Selinet: A Lightweight Model for Single Channel Speech Separation
Author:
Affiliation:
1. National Central University,Dept. of Computer Science and Information Engineering,Taiwan
2. Thai Nguyen University of Education,Thai Nguyen,Vietnam
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10094559/10094560/10097121.pdf?arnumber=10097121
Reference35 articles.
1. Dual-Path Transformer Network: Direct Context-Aware Modeling for End-to-End Monaural Speech Separation
2. Sudo RM -RF: Efficient Networks for Universal Audio Source Separation
3. Attention Is All You Need In Speech Separation
4. Two-Step Sound Source Separation: Training On Learned Latent Targets
5. SFSRNet: Super-resolution for Single-Channel Audio Source Separation
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