Switching Kronecker Product Linear Filtering for Multispeaker Adaptive Speech Dereverberation

Huang G, Benesty J, Cohen I, Winebrand E, Chen J, Kellermann W (2023)

Publication Type: Conference contribution

Publication year: 2023

Journal

2013 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Publisher: Institute of Electrical and Electronics Engineers Inc.

Conference Proceedings Title: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Event location: Rhodes Island GR

DOI: 10.1109/ICASSP49357.2023.10097198

Abstract

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.

Authors with CRIS profile

Gongping Huang Lehrstuhl für Multimediakommunikation und Signalverarbeitung (LMS) Walter Kellermann Professur für Signalverarbeitung

Involved external institutions

The Énergie Matériaux Télécommunications (Energy Materials Telecommunications) Research Centre CA Canada (CA) Technion - Israel Institute of Technology IL Israel (IL) insoundz IL Israel (IL) Northwestern Polytechnical University / 西北工业大学 (NPU/NWPU) CN China (CN)

How to cite

APA:

Huang, G., Benesty, J., Cohen, I., Winebrand, E., Chen, J., & Kellermann, W. (2023). Switching Kronecker Product Linear Filtering for Multispeaker Adaptive Speech Dereverberation. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. Rhodes Island, GR: Institute of Electrical and Electronics Engineers Inc..

MLA:

Huang, Gongping, et al. "Switching Kronecker Product Linear Filtering for Multispeaker Adaptive Speech Dereverberation." Proceedings of the 48th IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2023, Rhodes Island Institute of Electrical and Electronics Engineers Inc., 2023.

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