Dereverberation with differential microphone arrays and the weighted-prediction-error method

Wenxing Yang, Gongping Huang, Wen Zhang, Jingdong Chen, Jacob Benesty

科研成果: 书/报告/会议事项章节会议稿件同行评审

20 引用 (Scopus)

摘要

Reverberation is one of the most detrimental effects on the quality and performance of hands-free speech communication and human-machine interfaces. Among different approaches investigated in the literature, the weighted-prediction-error (WPE) method has exhibited some promising potential for dealing with reverberation. However, the WPE is highly sensitive to additive noise and the presence of even small levels of noise can cause significant performance degradation to WPE. To improve the robustness of this technique, we study in this paper the combination of WPE and differential microphone arrays (DMAs), resulting a DMA-WPE method. Our approach is as follows. A DMA is used to pick up the sound signal of interest in noisy and reverberant environments. The microphone signals are processed with a differential beamformer to suppress noise, interference, and reverberation. The output of the differential beamformer is then used as the reference signal for WPE to further perform dereverberation. Simulation results demonstrate that the DMA-WPE method outperforms WPE significantly in all the studied conditions.

源语言英语
主期刊名16th International Workshop on Acoustic Signal Enhancement, IWAENC 2018 - Proceedings
出版商Institute of Electrical and Electronics Engineers Inc.
376-380
页数5
ISBN(电子版)9781538681510
DOI
出版状态已出版 - 2 11月 2018
活动16th International Workshop on Acoustic Signal Enhancement, IWAENC 2018 - Tokyo, 日本
期限: 17 9月 201820 9月 2018

出版系列

姓名16th International Workshop on Acoustic Signal Enhancement, IWAENC 2018 - Proceedings

会议

会议16th International Workshop on Acoustic Signal Enhancement, IWAENC 2018
国家/地区日本
Tokyo
时期17/09/1820/09/18

指纹

探究 'Dereverberation with differential microphone arrays and the weighted-prediction-error method' 的科研主题。它们共同构成独一无二的指纹。

引用此