MCNET: Fuse Multiple Cues for Multichannel Speech Enhancement
Author:
Affiliation:
1. Zhejiang University,Hangzhou,China
2. Westlake University & Westlake Institute for Advanced Study,Hangzhou,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10094559/10094560/10095509.pdf?arnumber=10095509
Reference23 articles.
1. Multichannel Speech Enhancement Based On Time-Frequency Masking Using Subband Long Short-Term Memory
2. Performance measurement in blind audio source separation
3. Channel-attention dense unet for multichannel speech enhancement;tolooshams;ICASSP,2020
4. Online Monaural Speech Enhancement Using Delayed Subband LSTM
5. Insights into deep nonlinear filters for improved multi-channel speech enhancement;tesch,2022
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1. An MVDR-Embedded U-Net Beamformer for Effective and Robust Multichannel Speech Enhancement;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14
2. A Lightweight Hybrid Multi-Channel Speech Extraction System with Directional Voice Activity Detection;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14
3. Multi-Channel Speech Separation Using Spatially Selective Deep Non-Linear Filters;IEEE/ACM Transactions on Audio, Speech, and Language Processing;2024
4. SpatialNet: Extensively Learning Spatial Information for Multichannel Joint Speech Separation, Denoising and Dereverberation;IEEE/ACM Transactions on Audio, Speech, and Language Processing;2024
5. Multichannel Long-Term Streaming Neural Speech Enhancement for Static and Moving Speakers;IEEE Signal Processing Letters;2024
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