SSP'05 -- Proceedings

	IEEE/SP 13th workshop on Statistical Signal Processing July, 17-20, 2005 - Bordeaux - France

Information regarding the paper

Title

Noisy Speech De-Reverberation as a SIMO System Identification Issue

Author(s)

William Bobillet	Equipe Signal et Image, UMR 5131, LAPS
Eric Grivel	Equipe Signal et Image, UMR 5131, LAPS
Roberto Diversi	Dipartimento di Elettronica, Informatica e Sistemistica, Università di Bologna
Umberto Soverini	Dipartimento di Elettronica, Informatica e Sistemistica, Università di Bologna
Roberto Guidorzi	Dipartimento di Elettronica, Informatica e Sistemistica, Università di Bologna
Mohamed Najim	Signal et Image, UMR 5131, LAPS

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Abstract

In this paper, we investigate the blind speech dereverberation using two microphones, when the white noise variances are not equal and the reverberations are modeled by Finite Impulse Response (FIR) filters. For this purpose, we present a modified version of an identification approach previously developed in the framework of control and based on the properties of the definiteness and the positiveness of the autocorrelation matrices of the reverberated versions of the speech and the observations. This makes it possible to estimate both the variances of the additive noises and the FIR. Then, the speech signal is retrieved in the Least Square (LS) or Minimum Variance (MV) sense.