DocumentCode
417744
Title
Blind multichannel identification for speech dereverberation and enhancement
Author
Yu, Zhu Liang ; Er, Meng Hwa
Author_Institution
Center for Signal Process., Nanyang Technol. Univ., Singapore, Singapore
Volume
4
fYear
2004
fDate
17-21 May 2004
Abstract
A multichannel wideband signal dereverberation and enhancement method is proposed in this paper. It uses the blindly estimated impulse responses (IR) relating the signal source and each sensor to form a multiple input inverse filter (MINT) for speech dereverberation and enhancement with extended generalized sidelobe canceller (GSC). With the replacement of MINT for fixed beamformer and modification of blocking matrix in the conventional GSC, the resulting extended GSC not only dereverberates the distorted target signal, but also suppresses the interference/noise. Computer simulation results show the effectiveness of the proposed method.
Keywords
FIR filters; echo suppression; identification; speech enhancement; speech intelligibility; transient response; GSC; MINT; blind multichannel identification; blindly estimated impulse responses; extended generalized sidelobe canceller; interference suppression; multiple input inverse filter; speech dereverberation; speech enhancement; wideband signal dereverberation; Acoustic distortion; Acoustic noise; Filters; Frequency estimation; Interference suppression; Noise cancellation; Reverberation; Signal processing; Speech enhancement; Working environment noise;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 2004. Proceedings. (ICASSP '04). IEEE International Conference on
ISSN
1520-6149
Print_ISBN
0-7803-8484-9
Type
conf
DOI
10.1109/ICASSP.2004.1326774
Filename
1326774
Link To Document