A minimum speech distortion multichannel algorithm for noise reduction

Jacob Benesty, Jingdong Chen, Yiteng Huang

科研成果: 书/报告/会议事项章节会议稿件同行评审

4 引用 (Scopus)

摘要

Noise reduction using multiple microphones remains a challenging and crucial research problem. This paper presents a new multichannel noise-reduction algorithm based on spatio-temporal prediction. Unlike many multichannel techniques that attempt to achieve both speech dereverberation and noise reduction at the same time, this new approach puts aside speech dereverberation and formulates the problem as one of estimating the speech component received at one microphone using the observations from all the available microphones. In comparison with the existing techniques such as beam-forming, this new multichannel approach has many appealing properties: it does not require the knowledge of the source location or the channel impulse responses; the multiple microphones do not have to be arranged into a specific array geometry; it works the same for both the far-field and near-field cases; and most importantly, it can produce very good noise reduction with minimum speech distortion in real acoustic environments.

源语言英语
主期刊名2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP
321-324
页数4
DOI
出版状态已出版 - 2008
已对外发布
活动2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP - Las Vegas, NV, 美国
期限: 31 3月 20084 4月 2008

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2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP
国家/地区美国
Las Vegas, NV
时期31/03/084/04/08

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