Signal Analysis and Interpretation Laboratory

University of Southern California

Shrikanth Narayanan
Shrikanth (Shri) Narayanan (StM’88–M’95–SM’02–F’09) is Andrew J. Viterbi Professor of Engineering at the University of Southern California (USC), and holds appointments as Professor of Electrical Engineering, Computer Science, Linguistics and Psychology and as the founding director of the Ming Hsieh Institute. Prior to USC he was with AT&T Bell Labs and AT&T Research from 1995-2000. At USC he directs the Signal Analysis and Interpretation Laboratory (SAIL). His research focuses on human-centered information processing and communication technologies with a special emphasis on behavioral signal processing and informatics. [http://sail.usc.edu]

Prof. Narayanan is a Fellow of the Acoustical Society of America and the American Association for the Advancement of Science (AAAS) and a member of Tau Beta Pi, Phi Kappa Phi, and Eta Kappa Nu. He is also an Editor for the Computer Speech and Language Journal and an Associate Editor for the IEEE TRANSACTIONS ON AFFECTIVE COMPUTING, APSIPA TRANSACTIONS ON SIGNAL AND INFORMATION PROCESSING and the Journal of the Acoustical Society of America. He was also previously an Associate Editor of the IEEE TRANSACTIONS OF SPEECH AND AUDIO PROCESSING (2000–2004), IEEE SIGNAL PROCESSINGMAGAZINE (2005–2008) and the IEEE TRANSACTIONS ON MULTIMEDIA. He is a recipient of a number of honors including Best Paper awards from the IEEE Signal Processing Society in 2005 (with A. Potamianos) and in 2009 (with C. M. Lee) and selection as an IEEE Signal Processing Society Distinguished Lecturer for 2010–2011. Papers co-authored with his students have won awards at Interspeech 2012 Speaker Trait Challenge, Interspeech 2011 Speaker State Challenge, InterSpeech 2010, InterSpeech 2009-Emotion Challenge, IEEE DCOSS 2009, IEEE MMSP 2007, IEEE MMSP 2006, ICASSP 2005 and ICSLP 2002. He has published over 500 papers and has fourteen granted U.S. patents.

SAIL conducts fundamental and applied research in human-centered signal and information processing. Our emphasis is on speech, audio, language, biomedical and multi-modal signal processing, machine learning and pattern recognition.

SAIL’s research applications and systems development especially focus on domains with direct societal relevance including in human health and well being (both basic and translational research such as in the domains of autism, pediatric obesity and disordered speech production), education (technologies for literacy and language learning) and defense (signal and pattern classification, speech recognition and translation, virtual human-based systems and audio-visual scene analysis).

SAIL supports a collaborative interdisciplinary environment and bridges research from several fields and institutions, both in academia and industry.

shri@sipi.usc.edu