MMSE log-spectral amplitude estimator for multiple interferences

Emanuël A. P. Habets, Israel Cohen, Sharon Gannot

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-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 dereverbera-tion and noise reduction, and joint residual echo suppres-sion and noise reduction. Additionally, we present two possible methods to estimate the a priori Signal to Noise Ratio of each of the interferences
Original languageAmerican English
Title of host publicationInt Workshop Acoust Echo Noise Control, IWAENC'06
StatePublished - 2006

Bibliographical note

Place of conference:Paris, France


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