Prof. Israel Cohen wins the 2014 IEEE Signal Processing Letters Best Paper Award
Congratulations to Prof. Israel Cohen!
The paper “Late Reverberant Spectral Variance Estimation Based on a Statistical Model”, co-authored by Prof. Cohen, has been awarded the 2014 IEEE Signal Processing Letters Best Paper award.The prestigious award honors the authors of a letter article of exceptional merit and broad interest on a subject related to the IEEE Signal Processing Society’s technical scope and appearing in the IEEE Signal Processing Letters. Papers are judged on the basis of the technical novelty, the research significance of the work, quality and effectiveness in presenting subjects in an area of high impact to the Society’s members.
The award winning paper addresses the challenge of suppressing late reverberant speech, a well-known problem in speech communication systems. The authors propose a statistical reverberation model and use it to derive a general late reverberant spectral variance (LRSV) estimator. This estimator is a key component in many solutions for late reverberant speech suppression.
The paper appears online at:
Prof. Cohen’s research interests span a wide range of topics – statistical signal processing, analysis and modeling of acoustic signals, speech enhancement, noise estimation, microphone arrays, source localization, blind source separation, system identification, adaptive filtering and image analysis and processing.Prof. Israel Cohen has been with the Department of Electrical Engineering at the Technion since 2001. Prior to that, he completed B.Sc., M.Sc. and Ph.D. degrees at the Technion’s department of Electrical Engineering in the years 1990, 1993 and 1998, respectively. From 1998 to 2001 he was a postdoctoral research associate at the Computer Science department of Yale University. Prof. Cohen is a recipient of the Alexander Goldberg Prize for Excellence in Research, and the Muriel and David Jacknow Award for Excellence in Teaching.