A summary of the REVERB challenge: state-of-the-art and remaining challenges in reverberant speech processing research

Author:

Kinoshita Keisuke,Delcroix Marc,Gannot Sharon,P. Habets Emanuël A.,Haeb-Umbach Reinhold,Kellermann Walter,Leutnant Volker,Maas Roland,Nakatani Tomohiro,Raj Bhiksha,Sehr Armin,Yoshioka Takuya

Publisher

Springer Science and Business Media LLC

Cited by 231 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. Distributed speech dereverberation using weighted prediction error;Signal Processing;2024-12

2. Triple-0: Zero-shot denoising and dereverberation on an end-to-end frozen anechoic speech separation network;PLOS ONE;2024-07-16

3. Cascaded Speech Separation Denoising and Dereverberation Using Attention and TCN-WPE Networks for Speech Devices;IEEE Internet of Things Journal;2024-05-15

4. Diffusion Model-Based MIMO Speech Denoising and Dereverberation;2024 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW);2024-04-14

5. SICRN: Advancing Speech Enhancement through State Space Model and Inplace Convolution Techniques;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

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