Dual-microphone noise reduction based on semi-blind DUET

Zhong Hua Fu, Lei Xie, Domg Mei Jiang

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 is a fundamental requirement of many speech applications. Sometimes the major interferences, such as music, song, cross-talking, etc., coming from loudspeakers nearby make it a more challenging problem. In this paper, by supposing the locations of interferences are fixed, a semi-blind Degenerate Unmixing Estimation Technique (DUET) approach using dualmicrophone is proposed. Firstly, during system initialization, the spatial feature distribution of the interferences is estimated precisely. Then the feature distribution of unknown target speech is obtained using model adaptation. Finally, a time-frequency binary mask estimated based on likelihood comparison is used to separate the target speech. The experimental results show that the performances of our approach in adverse noise reduction are significant. 77.9% interferences are eliminated and the speech quality is preserved very well. The results are close to those of un-blind approach, where the locations of all sound sources are known.

源语言英语
主期刊名2010 7th International Symposium on Chinese Spoken Language Processing, ISCSLP 2010 - Proceedings
33-37
页数5
DOI
出版状态已出版 - 2010
活动2010 7th International Symposium on Chinese Spoken Language Processing, ISCSLP 2010 - Tainan, 中国台湾
期限: 29 11月 20103 12月 2010

出版系列

姓名2010 7th International Symposium on Chinese Spoken Language Processing, ISCSLP 2010 - Proceedings

会议

会议2010 7th International Symposium on Chinese Spoken Language Processing, ISCSLP 2010
国家/地区中国台湾
Tainan
时期29/11/103/12/10

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