A frequency-selecting multichannel equalization method for speech dereverberation

Author

Zhang, Wancheng ; Yan, Yiming ; Wang, Tianyi ; He, Zunwen

Author_Institution

School of Information and Electronics, Beijing Institute of Technology, 100081, China

fYear

2015

fDate

21-24 July 2015

Firstpage

158

Lastpage

162

Abstract

A frequency-selecting approach is proposed for robust multichannel dereverberation in the presence of system identification errors (SIEs), based on subband equalization of acoustic channels. Same as the full-band counterpart, performance of the subband multichannel equalizer (SB-MCEQ) degrades in the presence of SIEs. Firstly performance of the SB-MCEQ in different subbands is investigated. Statistical results show that the performance of SB-MCEQ degrades severely only in a few subbands, and they will be called ‘bad’ subbands. Then a frequency-selecting multichannel equalization (FS-MCEQ) algorithm is proposed, which abandons the subband signals of the ‘bad’ subbands or leaves them unprocessed at reconstruction of the full-band signal from the subband signals. Simulation results confirm that the FS-MCEQ algorithm outperforms the SB-MCEQ in the presence of SIEs.

Keywords

Acoustics; Equalizers; Gain; Microphones; Robustness; Speech; Speech processing; dereverberation; multichannel equalization; multirate signal processing; system identification errors;

fLanguage

English

Publisher

ieee

Conference_Titel

Digital Signal Processing (DSP), 2015 IEEE International Conference on

Conference_Location

Singapore, Singapore

Type

conf

DOI

10.1109/ICDSP.2015.7251850

Filename

7251850