DocumentCode :
1948679
Title :
SUBBAND ADAPTIVE BEAMFORMING FOR MICROPHONE ARRAY SPEECH ENHANCEMENT
Author :
Wang, Dongxia ; Yin, Fuliang
Author_Institution :
Sch. of Electron. & Inf., Dalian Univ. of Technol.
Volume :
4
fYear :
2006
fDate :
16-20 Nov. 2006
Abstract :
A new subband adaptive beamforming method for microphone array speech enhancement is proposed in the paper, which is used to enhance speech signals corrupted by noise in the enclosure environment. It applies the idea of subband processing into the generalized sidelobe canceller (GSC) and post-filter. An oversampled cosine-modulated filter bank is adopted to improve convergence speed of full-band adaptive beamforming and avoid aliasing between subband signals. In addition, in order to reduce speech signal cancellation brought by reverberation, a subband mean coherence function is introduced to control the adaptive processing of multichannel noise canceller. Simulation experiments results that the proposed method exhibits better noise reduction performance than full-band counterparts
Keywords :
array signal processing; channel bank filters; microphone arrays; speech enhancement; generalized sidelobe canceller; mean coherence function; microphone array; multichannel noise canceller; oversampled cosine-modulated filter bank; post-filter; speech enhancement; speech signals; subband adaptive beamforming; subband processing; Adaptive arrays; Array signal processing; Convergence; Filter bank; Microphone arrays; Noise cancellation; Signal processing; Speech enhancement; Speech processing; Working environment noise;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing, 2006 8th International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-9736-3
Electronic_ISBN :
0-7803-9736-3
Type :
conf
DOI :
10.1109/ICOSP.2006.346073
Filename :
4129765
Link To Document :
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