Channel-Attention Dense U-Net for Multichannel Speech Enhancement

Author:

Tolooshams Bahareh,Giri Ritwik,Song Andrew H.,Isik Umut,Krishnaswamy Arvindh

Publisher

IEEE

Cited by 52 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. 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. Attention-Driven Multichannel Speech Enhancement in Moving Sound Source Scenarios;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

3. 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

4. Decoupled Spatial and Temporal Processing for Resource Efficient Multichannel Speech Enhancement;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

5. On the Generalization Ability of Complex-Valued Variational U-Networks for Single-Channel Speech Enhancement;IEEE/ACM Transactions on Audio, Speech, and Language Processing;2024

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