Abstract. We present an approach for blindly decomposing an observed random vector x into f(As) where f is a diagonal function i.e. f = f1 × . . . × fm with one-dimensional funct...
Abstract. In this paper we address the problem of blind source extraction of a subset of “interesting” independent sources from a linear convolutive or instantaneous mixture. T...
We study an efficient dynamic blind source separation algorithm of convolutive sound mixtures based on updating statistical information in the frequency domain, and minimizing the...
This article addresses the modeling of reverberant recording environments in the context of under-determined convolutive blind source separation. We model the contribution of each ...
A blind audio source separation technique with an ill-posed mixing matrix and additive noise is proposed in this work. With this technique, we divide the solution into two steps. ...