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
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;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2004. Proceedings. (ICASSP '04). IEEE International Conference on
Print_ISBN :
0-7803-8484-9
DOI :
10.1109/ICASSP.2004.1326774