Low-Latency Single Channel Speech Enhancement Using U-Net Convolutional Neural Networks-Reference-Cited by-同舟云学术

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Low-Latency Single Channel Speech Enhancement Using U-Net Convolutional Neural Networks

Published:2020-05 Issue: Volume: Page:
ISSN:
Container-title:ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

Bulut Ahmet E.,Koishida Kazuhito

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9040208/9052899/09054563.pdf?arnumber=9054563

Cited by 24 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 enhancement using colored spectrograms;Computer Speech & Language;2024-06

2. A speech enhancement model based on noise component decomposition: Inspired by human cognitive behavior;Applied Acoustics;2024-05

3. BIUnet: Unet Network for Mask Estimation in Single-Channel Speech Enhancement;2024 5th International Seminar on Artificial Intelligence, Networking and Information Technology (AINIT);2024-03-29

4. A Subconvolutional U-net with Gated Recurrent Unit and Efficient Channel Attention Mechanism for Real-Time Speech Enhancement;Wireless Personal Communications;2024-03-04

5. Single Channel Speech Enhancement using CNN with Frequency Dimension Adaptive Attention based Squeeze-TCN;2024 2nd International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT);2024-01-04

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