论文信息 - A two-channel fast NLMS algorithm for speech enhancement and acoustic noise reduction

A two-channel fast NLMS algorithm for speech enhancement and acoustic noise reduction

This paper addresses the problem of acoustic noise reduction and speech enhancement in new telecommunication systems by adaptive filtering algorithms. We propose a new two-channel forward BSS algorithm based on signal prediction to give an automatic algorithm with a very nice behavior at the output. This algorithm is called the two-channel fast normalized least mean square (TCFNLMS) algorithm. This new algorithm shows superiority in comparison with classical two-channel NlMS in terms of the following objective criteria: the segmental signal to noise ratio (SegSNR), the cepstral distance (CD), the system mismatch (SM) and the segmental mean square error (SegMSE).

Mohamed Djendi | Abderrezak Guessoum | Akila Sayoud

[1] Mohamed Djendi,et al. A wavelet-based forward BSS algorithm for acoustic noise reduction and speech enhancement , 2016 .

[2] Ali H. Sayed,et al. Fundamentals Of Adaptive Filtering , 2003 .

[3] Mohamed Djendi,et al. Double pseudo affine projection algorithm for speech enhancement and acoustic noise reduction , 2012, 2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO).

[4] Mohamed Djendi,et al. New frequency domain post-filters for noise cancellation using two closely spaced microphones , 2007, 2007 15th European Signal Processing Conference.

[5] Philipos C. Loizou,et al. Speech Enhancement: Theory and Practice , 2007 .

[6] Mohamed Djendi,et al. Noise Cancellation using Two Closely Spaced Microphones: Experimental Study witha Specific Model and Two Adaptive Algorithms , 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.