AI

Malcolm Slaney

About
Dr. Malcolm Slaney is a research scientist in the Machine Hearing Group at Google Research, where he leads a project on saliency and attention. He received his PhD from Purdue University. He is also a Consulting Professor at Stanford CCRMA, and he has led the Hearing Seminar for more than 20 years, and an Affiliate Faculty in the Electrical Engineering Department at the University of Washington. He has served as an Associate Editor of IEEE Transactions on Audio, Speech and Signal Processing and IEEE Multimedia Magazine and a guest editor for the Proceedings of the IEEE and ACM Transactions on Multimedia Computing. He has given successful tutorials at ICASSP 1996 and 2009 on “Applications of Psychoacoustics to Signal Processing,” on “Multimedia Information Retrieval” at SIGIR and ICASSP, and “Web­Scale Multimedia Data” at ACM Multimedia 2010. He is a coauthor, with A. C. Kak, of the IEEE book “Principles of Computerized Tomographic Imaging”. This book was republished by SIAM in their “Classics in Applied Mathematics” Series. He is coeditor, with Steven Greenberg, of the book “Computational Models of Auditory Function.” Before joining Google, Dr. Slaney has worked at Bell Laboratory, Schlumberger Palo Alto Research, Apple Computer, Interval Research, IBM’s Almaden Research Center, Yahoo! Research, and Microsoft Research. For many years, he has lead the auditory group at the Telluride Neuromorphic (Cognition) Workshop. Dr. Slaney’s recent work is on understanding auditory perception and decoding auditory attention from brain signals. He is a Fellow of the IEEE.