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