Optimizing Shoulder to Shoulder: A Coordinated Sub-Band Fusion Model for Full-Band Speech Enhancement
Author:
Affiliation:
1. Communication University of China,State Key Laboratory of Media Convergence and Communication,Beijing,China
2. Institute of Acoustics,Chinese Academy of Sciences,Beijing,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10037756/10037573/10037937.pdf?arnumber=10037937
Reference38 articles.
1. Dnsmos P.835: A Non-Intrusive Perceptual Objective Speech Quality Metric to Evaluate Noise Suppressors
2. Dual-Branch Attention-In-Attention Transformer for Single-Channel Speech Enhancement
3. Dnsmos: A Non-Intrusive Perceptual Objective Speech Quality Metric to Evaluate Noise Suppressors
4. Noisy-Reverberant Speech Enhancement Using DenseUNet with Time-Frequency Attention
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2. FSI-Net: A dual-stage full- and sub-band integration network for full-band speech enhancement;Applied Acoustics;2023-08
3. LTF-NET: A Low-complexity Three-band Fusion Model For Full-band Speech Enhancement;2023 6th International Conference on Artificial Intelligence and Big Data (ICAIBD);2023-05-26
4. TS-CGANet: A Two-Stage Complex and Real Dual-Path Sub-Band Fusion Network for Full-Band Speech Enhancement;Applied Sciences;2023-03-31
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