Speech Enhancement via Residual Dense Generative Adversarial Network-Reference-Cited by-同舟云学术

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Speech Enhancement via Residual Dense Generative Adversarial Network

Published:2021 Issue:3 Volume:38 Page:279-289
ISSN:0267-6192
Container-title:Computer Systems Science and Engineering
language:en
Short-container-title:

Author:

Zhou Lin,Zhong Qiuyue,Wang Tianyi,Lu Siyuan,Hu Hongmei

Publisher

Computers, Materials and Continua (Tech Science Press)

Subject

General Computer Science,Theoretical Computer Science,Control and Systems Engineering

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Single-Channel Speech Quality Enhancement in Mobile Networks Based on Generative Adversarial Networks;Mobile Networks and Applications;2024-04-02

2. Stacked Multiscale Densely Connected Temporal Convolutional Attention Network for Multi-Objective Speech Enhancement in an Airborne Environment;Aerospace;2024-02-15

3. Speech Enhancement via Mask-Mapping Based Residual Dense Network;Computers, Materials & Continua;2023

4. A GAN Based Heart Sound Denoising Model;2022 12th International Conference on Information Technology in Medicine and Education (ITME);2022-11

5. Time-Domain Anti-Interference Method for Ship Radiated Noise Signal;EURASIP Journal on Advances in Signal Processing;2022-07-23

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