Plug-and-Play MVDR Beamforming for Speech Separation

Chengbo Chang, Ziye Yang, Jie Chen

科研成果: 书/报告/会议事项章节会议稿件同行评审

1 引用 (Scopus)

摘要

As an adaptive beamformer, the Minimum Variance Distortionless Response (MVDR) method has proven its efficiency in separating target speech from background noise and interference. Conventionally, MVDR relies on physical information regarding signal angles and covariance matrices, however, ignores that the beamformer output can potentially benefit from the prior structures of speech signals. Motivated by the recent advance in integrating physics-based and data-driven approaches, this paper introduces a novel speech separation framework. Our approach enhances MVDR by incorporating Plug-and-Play (PnP) techniques to capture speech priors, specifically employing the Regularization by Denoising (RED) method to integrate prior speech information obtained from data into the optimization process. Experimental results validate the effectiveness of the proposed approach.

源语言英语
主期刊名2024 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2024 - Proceedings
出版商Institute of Electrical and Electronics Engineers Inc.
1346-1350
页数5
ISBN(电子版)9798350344851
DOI
出版状态已出版 - 2024
活动2024 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2024 - Seoul, 韩国
期限: 14 4月 202419 4月 2024

出版系列

姓名ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN(印刷版)1520-6149

会议

会议2024 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2024
国家/地区韩国
Seoul
时期14/04/2419/04/24

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