Speech Enhancement Based on Dual-Path Cross Parallel Transformer Network
Author:
Affiliation:
1. School of Physics and Electronic Information, Yantai University,Yantai,Shandong Province,China
Funder
Shandong Provincial Natural Science Foundation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10244769/10244774/10245779.pdf?arnumber=10245779
Reference31 articles.
1. Explore Relative and Context Information with Transformer for Joint Acoustic Echo Cancellation and Speech Enhancement
2. Densely connected neural network withdilated convolutions for real-time speech enhancement in the timedomain;pandey;ICASSP 2020-2020 IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP),0
3. Lightweight Underwater Object Detection Based on YOLO v4 and Multi-Scale Attentional Feature Fusion
4. Cptnn: Cross-Parallel Transformer Neural Network For Time-Domain Speech Enhancement
5. Evaluation of Objective Quality Measures for Speech Enhancement
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1. DPHT-ANet: Dual-path high-order transformer-style fully attentional network for monaural speech enhancement;Applied Acoustics;2024-09
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