Speech Enhancement by Multi-Channel Crosstalk Resistant Adaptive Noise Cancellation

Author

Zeng, Qingning ; Abdulla, Waleed H.

Author_Institution

Dept. of Electr. & Comput. Eng., Auckland Univ.

Volume

1

fYear

2006

fDate

14-19 May 2006

Abstract

A novel multi-channel crosstalk resistant adaptive noise cancellation (MCRANC) algorithm is presented in this paper to enhance noise carrying speech signals. The algorithm would permit locating the microphones in close proximity as it cancels out the crosstalk effect. Results have indicated that this method outperforms the commonly used techniques in the sense of SNR improvement and speech intelligibility. A SNR improvement of 17.8 dB using MCRANC keeping highly intelligible speech was achieved in our experiments versus 9.1 dB using multi-channel ANC (MANC) with far less speech quality

Keywords

crosstalk; interference suppression; speech enhancement; speech intelligibility; SNR improvement; microphones; multi-channel crosstalk resistant adaptive noise cancellation algorithm; noise carrying speech signals; signal-to-noise ratio; speech enhancement; speech intelligibility; speech quality; Adaptive signal processing; Crosstalk; Finite impulse response filter; Microphone arrays; Noise cancellation; Planar arrays; Resistance; Signal processing algorithms; Signal to noise ratio; Speech enhancement;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on

Conference_Location

Toulouse

ISSN

1520-6149

Print_ISBN

1-4244-0469-X

Type

conf

DOI

10.1109/ICASSP.2006.1660063

Filename

1660063