Siouar Bensaid

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Blind Source Separation (BSS) arises in a variety of fields in speech processing such as speech enhancement, speakers diarization and identification. Generally, methods for BSS consider several observations of the same recording. Single microphone analysis is the worst underdetermined case, but, it is also the more realistic one. In this article, the(More)
This paper addresses the localization of spatially distributed sources from interictal epileptic electroencephalographic data after a tensor-based preprocessing. Justifying the Canonical Polyadic (CP) model of the space-time-frequency and space-time-wave-vector tensors is not an easy task when two or more extended sources have to be localized. On the other(More)
In this paper we focus on the use of windows in the frequency domain processing of data for the purpose of spectral parameter estimation. Classical frequency domain asymptotics replace linear con-volution by circulant convolution leading to approximation errors. We show how the introduction of windows can lead to slightly more complex frequency domain(More)
—In this paper, we consider the case of single microphone Blind speech separation. We exploit the joint model of speech signal (the voiced part) that consists on modeling the correlation of speech with a short term Autoregressive process and its quasi-periodicity with a long term one. a linear state space model with unknown parameters is derived. The(More)
—In recent years, the Kalman filter (KF) has encountered renewed interest, due to an increasing range of applications. Even though in many cases the state-space model may be linear, it is often only known up to the values of some parameters, usually related to the vector autoregressive process of the state evolution equation. In this paper, after finding(More)
Non-alcoholic fatty liver disease (NAFLD) is defined as an excessive accumulation of fat in the liver in the absence of excessive drinking of alcohol. Initially considered as benign and self-limited, NAFLD may progress to the malignant stage of non-alcoholic steatohepatitis (NASH) characterized by degenerate hepatocellular ballooning and lobular(More)
We consider the problem of LMMSE estimation (such as Wiener and Kalman filtering) in the presence of a number of unknown parameters in the second-order statistics, that need to be estimated also. This well-known joint filtering and parameter estimation problem has numerous applications. It is a hybrid estimation problem in which the signal to be estimated(More)
We focus on the use of windows in the frequency domain processing of data for the purpose of Wiener filtering. Classical frequency domain asymptotics replace linear convolution by circulant convolution, leading to approximation errors. The introduction of windows can lead to slightly more complex frequency domain techniques, replacing diagonal matrices by(More)
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