Switching Kronecker Product Linear Filtering for Multispeaker Adaptive Speech Dereverberation

Gongping Huang, Jacob Benesty, Israel Cohen, Emil Winebrand, Jingdong Chen, Walter Kellermann

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

Dereverberation, a process to mitigate or eliminate the reverberation effect, plays an important role in hands-free speech communication and human-machine interfaces. Tremendous efforts have been devoted to this problem and various methods have been developed over the last three decades. Those methods generally assume that there is only a single speaker in the acoustic environment and, consequently, they suffer from significant performance degradation if multiple speakers participate in the conversation. How to deal with reverberation in multiple-speaker scenarios is still a challenging problem, which is studied in this work. We present a switching multichannel linear prediction filtering method, which designs multiple linear filters with each tracking one speaker. When some speaker is active, the corresponding filter and the weighted cross-correlation matrix are updated while the other filters are kept unchanged. To further improve the performance and reduce complexity, we apply the Kronecker product to decompose every linear prediction filter into a Kronecker product of two shorter filters: one is time-invariant and the other is time-varying. The former is estimated with a batch method (using only a few seconds of speech signal when the corresponding speaker starts to talk in the entire conversation) while a recursive least-squares algorithm is derived for identifying the time-varying set of Kronecker filters.

源语言英语
主期刊名ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
出版商Institute of Electrical and Electronics Engineers Inc.
ISBN(电子版)9781728163277
DOI
出版状态已出版 - 2023
活动48th IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2023 - Rhodes Island, 希腊
期限: 4 6月 202310 6月 2023

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48th IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2023
国家/地区希腊
Rhodes Island
时期4/06/2310/06/23

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