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A LOW-COMPLEXITY SPEECH DEREVERBERATION METHOD BASED ON KRONECKER PRODUCT DECOMPOSITION

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

The weighted-prediction-error (WPE) method, which uses variance-normalized multichannel delayed linear prediction to suppress the late reverberation component, is one of the most effective algorithms for speech dereverberation. The prediction-error filter in WPE, however, has to be long enough to estimate accurately the late reverberation component, which results in a high computational complexity. To deal with this issue, this paper proposes to use Kronecker product to decompose the high-dimensional multichannel linear prediction-error filter into three groups of low-dimensional filters. This scheme not only leads to effective dereverberation performance, but also reduces the computational load, which is very conducive to real-time speech systems.

源语言英语
主期刊名Proceedings of the 28th International Congress on Sound and Vibration, ICSV 2022
出版商Society of Acoustics
ISBN(电子版)9789811850707
出版状态已出版 - 2022
活动28th International Congress on Sound and Vibration, ICSV 2022 - Singapore, 新加坡
期限: 24 7月 202228 7月 2022

出版系列

姓名Proceedings of the International Congress on Sound and Vibration
ISSN(电子版)2329-3675

会议

会议28th International Congress on Sound and Vibration, ICSV 2022
国家/地区新加坡
Singapore
时期24/07/2228/07/22

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