Cross-Representation Loss-Guided Complex Convolutional Network for Speech Enhancement of VHF Audio
Author:
Affiliation:
1. Information Science and Technology College, Dalian Maritime University, Dalian, China
2. School of Information Science and Technology, Zhejiang Sci-Tech University, Hangzhou, China
Funder
National Natural Science Foundation of China
Postdoctoral Science Foundation of China
Key Projects of National Natural Science Foundation of Zhejiang Province
Natural Science Foundation of Liaoning Province
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/19/10012124/10301655.pdf?arnumber=10301655
Reference27 articles.
1. A New Framework for CNN-Based Speech Enhancement in the Time Domain
2. Supervised Speech Separation Based on Deep Learning: An Overview
3. DCCRN: Deep Complex Convolution Recurrent Network for Phase-Aware Speech Enhancement
4. Complex Spectral Mapping for Single- and Multi-Channel Speech Enhancement and Robust ASR
5. Self-Attention Generative Adversarial Network for Speech Enhancement
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