MMSE Log-Spectral Amplitude Estimator for Multiple Interferences

E.A.P. Habets, I. Cohen, S. Gannot

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review


In this paper we present an algorithm for robust speech enhancement based on an Optimal Modified Minimum Mean-Square Error Log-Spectral Amplitude (OM-LSA) estimator for multiple interferences. In the original OM-LSA one interference was taken into account. However, there are many situations where multiple interferences are present. Since the human ear is more sensitive to a small amount of residual non-stationary interference than to a stationary interference we would like to reduce the non-stationary interference signal down to the residual noise level of the stationary interference. Possible applications for the proposed algorithm are joint speech dereverberation and noise reduction, and joint residual echo suppression and noise reduction. Additionally, we present two possible methods to estimate the a priori Signal to Noise Ratio of each of the interferences.
Original languageEnglish
Title of host publicationProc. of the 10th International Workshop of Acoustic Echo and Noise Control (IWAENC 2006)
Publication statusPublished - 2006
Eventconference; IWAENC 2006, Paris, France; 2006-09-12; 2006-09-14 -
Duration: 12 Sept 200614 Sept 2006


Conferenceconference; IWAENC 2006, Paris, France; 2006-09-12; 2006-09-14
OtherIWAENC 2006, Paris, France


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