On the Importance of Neural Wiener Filter for Resource Efficient Multichannel Speech Enhancement
Author:
Affiliation:
1. Indiana University,Department of Intelligent Systems Engineering,Bloomington,IN,USA
2. Reality Labs Research,Meta,WA,USA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10445798/10445803/10448014.pdf?arnumber=10448014
Reference31 articles.
1. Deep Learning Based Speech Beamforming
2. FaS-Net: Low-latency adaptive beamforming for multi-microphone audio processing;Luo
3. A Time-Domain Real-Valued Generalized Wiener Filter for Multi-Channel Neural Separation Systems
4. STFT-Domain Neural Speech Enhancement With Very Low Algorithmic Latency
5. Towards Low-Distortion Multi-Channel Speech Enhancement: The ESPNET-Se Submission to the L3DAS22 Challenge
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