Binaural dereverberation based on delayed widely linear prediction in the time domain

Xin Leng, 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

摘要

Sound spatial information benefits human listeners in reverberant environments. This paper deals with the problem of binaural dereverberation, which reduces reverberation and meanwhile preserves the sound spatial information at the binaural outputs. A widely linear (WL) filtering framework is adopted where the multiple real microphone signals are merged into complex signals. The desired binaural outputs are also converted into complex signals with one channel being its real part, and the other channel being its imaginary part. By doing so, we transform the problem of binaural dereverberation to one of monaural dereverberation. In such a framework, the complex late reverberation is modeled using the multichannel delayed WL prediction by fully taking advantage of the noncircularity of the complex signals. A maximum likelihood method is then developed to estimate the optimal prediction filter with the speech signal of interest being modeled by a complex normal distribution. The relationship between the proposed method and the weighted prediction error (WPE) method is also discussed. Finally, simulation results are provided to justify the effectiveness of the developed method.

源语言英语
主期刊名Proceedings of the 23rd International Congress on Acoustics
主期刊副标题Integrating 4th EAA Euroregio 2019
编辑Martin Ochmann, Vorlander Michael, Janina Fels
出版商International Commission for Acoustics (ICA)
4924-4931
页数8
ISBN(电子版)9783939296157
DOI
出版状态已出版 - 2019
活动23rd International Congress on Acoustics: Integrating 4th EAA Euroregio, ICA 2019 - Aachen, 德国
期限: 9 9月 201923 9月 2019

出版系列

姓名Proceedings of the International Congress on Acoustics
2019-September
ISSN(印刷版)2226-7808
ISSN(电子版)2415-1599

会议

会议23rd International Congress on Acoustics: Integrating 4th EAA Euroregio, ICA 2019
国家/地区德国
Aachen
时期9/09/1923/09/19

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