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Speech Enhancement by Multi-Channel Crosstalk Resistant Adaptive Noise Cancellation

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2 Author(s)
Qingning Zeng ; Dept. of Electr. & Comput. Eng., Auckland Univ. ; Abdulla, W.H.

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

Published in:

Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on  (Volume:1 )

Date of Conference:

14-19 May 2006