Low-Latency Active Noise Control Using Attentive Recurrent Network
Author:
Affiliation:
1. Department of Computer Science and Engineering, Ohio State University, Columbus, OH, USA
2. Department of Computer Science and Engineering and the Center for Cognitive and Brain Sciences, Ohio State University, Columbus, OH, USA
Funder
NIH\NIDCD
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/ielx7/6570655/9970249/10043733.pdf?arnumber=10043733
Reference56 articles.
1. A Deep Learning Approach to Active Noise Control
2. Ten questions concerning active noise control in the built environment
3. Towards Model Compression for Deep Learning Based Speech Enhancement
4. A Deep Learning Method to Multi-Channel Active Noise Control
5. Deep ANC: A deep learning approach to active noise control
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