IEEE

Talk: January 9, 2015: Segregating Complex Sound Sources Through Temporal Coherence

Dept. of Electrical Engineering, IISc, invites you to the following talk
related to using auditory processing insights for segregating sound
sources.
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Title: Segregating Complex Sound Sources Through Temporal Coherence
Speaker: Prof. Shihab A. Shamma,
Univ. of Maryland, USA and Ecole Normale Superieure, Paris
Time & Date: 4:00 pm; Friday January 9, 2015
Venue: Multimedia Classroom (PE 217), Department of Electrical
Engineering, IISc.

Abstract: A new approach for the segregation of monaural sound mixtures
is presented based on the principle of temporal coherence and using
auditory cortical representations. Temporal coherence is the notion that
perceived sources emit coherently modulated features that evoke
highly-coincident neural response patterns. By clustering the feature
channels with coincident responses and reconstructing their input, one can
segregate the underlying source from the simultaneously interfering
signals that are uncorrelated with it. The proposed algorithm requires no
prior information or training on the sources. It can, however, gracefully
incorporate cognitive functions and influences such as memories of a
target source or attention to a specific set of its attributes so as to
segregate it from its background. Aside from its unusual structure and
computational innovations, the proposed algorithmic model provides
testable hypotheses of the physiological mechanisms of this ubiquitous and
remarkable perceptual ability, and of its psychophysical manifestations in
navigating complex sensory environments.

Biography of the Speaker:
Shihab Shamma received his B.S. degree in 1976 from Imperial College, in
London, U.K. He received his M.S. and Ph.D. degrees in Electrical
Engineering from Stanford University in 1977 and 1980, respectively. Dr.
Shamma received his M.A. in Slavic Languages and Literature in 1980 from
the same institution. Dr. Shamma has been a member of the University of
Maryland faculty since 1984 when he started as an Assistant Professor in
the Electrical Engineering Department. He became an Associate Professor in
1989. He has been associated with the Systems Research Center since its
inception in 1985, and received a joint appointment in 1990. Dr. Shamma
also holds a joint appointment with the University of Maryland Institute
for Advanced Computer Studies. He is a fellow of the Acoustical Society of
America since 2004. He received the ISR Outstanding Systems Engineering
Faculty Award from University of Maryland in the year 2007. His research
interests include representation of the acoustic signal at various levels
in mammalian auditory systems and ranges from theoretical models of
auditory processing in early and central auditory stages, to
neuro-physiological investigations of the auditory cortex, to
psycho-acoustical experiments of human perception of acoustic spectral
profiles.

Dr. Shamma’s research deals with issues in computational neuroscience,
neuromorphic engineering, and the development of micro sensor systems for
experimental research and neural prostheses. Primary focus has been on
studying the computational principles underlying the processing and
recognition of complex sounds (speech and music) in the auditory system,
and the relationship between auditory and visual processing. Signal
processing algorithms inspired by data from neuro-physiological and psycho
acoustical experiments are being developed and applied in a variety of
systems such as speech and voice recognition and diagnostics in industrial
manufacturing. Other research interests included (at various times) the
development of photo-lithographic micro-electrode arrays for recording and
stimulation of neural signals, a VLSI implementations of auditory
processing algorithms, and development of robotic systems for the
detection and tracking of multiple sound sources.
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Co-sponsor:
IEEE Signal Processing Society
Bangalore chapter
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