Improved adaptive noise cancellation in the presence of signal leakage on the noise reference channel

Blind Signal Separation II. Linear, Convolutive Combinations

“…The second stage filters this noise-free signal Al-Kindi et al [3] extended the classic ANC method to give a system that can cancel the noise to produce the desired signal in an undistorted form. Conceptually, this approach can be viewed as adding even when there is leakage of the signal into the noise reference channel.…”

New automatic forward and backward blind sources separation algorithms for noise reduction and speech enhancement

“…Other families of these methods are implemented in the frequency and wavelets domain transforms to enhance the convergence speed performance of these methods [9][10][11][12][13]. In the literature, two structures called backward and forward are conceptually simple and allow carrying out the noise reduction by blind sources separation (BSS) approaches [5,6]. Recently, we have proposed subband implementation of these two forward and backward BSS structures to improve their convergence speed performances [14,15].…”

“…These methods are firstly implemented in temporal full-band forms [5][6][7][8]. Other families of these methods are implemented in the frequency and wavelets domain transforms to enhance the convergence speed performance of these methods [9][10][11][12][13].…”

A new regularized forward blind source separation algorithm for automatic speech quality enhancement

“…Several techniques have been proposed to deal with the problem of acoustic noise reduction and speech enhancement applications [2][3][4][5]. For instance, in [6][7][8][9][10] several single and dual microphones based on adaptive techniques are proposed to correct the distortions of the speech signal. Moreover, several adaptive techniques and algorithms combined with single, two-and multi-channel techniques for noise reduction and speech enhancement applications have been recently proposed as a new insight for this problem [11][12][13][14].…”