Efficient Monaural Speech Enhancement with Universal Sample Rate Band-Split RNN
Author:
Affiliation:
1. Tencent AI Lab,Shenzhen,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10094559/10094560/10096020.pdf?arnumber=10096020
Reference32 articles.
1. RemixIT: Continual Self-Training of Speech Enhancement Models via Bootstrapped Remixing
2. SE-Conformer: Time-Domain Speech Enhancement Using Conformer
3. A Hybrid DSP/Deep Learning Approach to Real-Time Full-Band Speech Enhancement
4. Weighted Speech Distortion Losses for Neural-Network-Based Real-Time Speech Enhancement
5. A short-time objective intelligibility measure for time-frequency weighted noisy speech
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