Malcolm Slaney on AI for Better Hearing
Date:
Fri, 02/02/2024 - 10:30am - 12:00pm
Location:
CCRMA Seminar Room
Event Type:
Hearing Seminar At the next Hearing Seminar I'd like to review work that I and others have done to apply modern artificial intelligence methods to our hearing. This process includes better and more detailed models of our auditory system, expressed in a fashion that allows their use in an optimizer framework (think differentiable) and then learns a network that improves a high-level objective measure such as the speech intelligibility index (SII). I'll be reviewing new works from BYU, McMaster, Sheffield, Augsburg, Ghent, Tempere and Stanford.
Who: Malcolm Slaney
What: DNNs for Heairng Assistance
When: Friday February 2, 2024 at 10:30AM
Where CCRMA Seminar Room
Why: AI has been good for everything else, why not our hearing?
Come to CCRMA and we'll improve your hearing, or at least your understanding of your hearing.
Biography
BSEE, MSEE, and Ph.D., Purdue University. Dr. Malcolm Slaney is a Consulting Professor at Stanford CCRMA, where he has organized the Hearing Seminar for more than 30 years, and an Affiliate Faculty in the Electrical Engineering Department at the University of Washington. He was an Associate Editor of IEEE Transactions on Audio, Speech and Signal Processing and IEEE Multimedia Magazine. 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 “Web-Scale 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 recently republished by SIAM in their “Classics in Applied Mathematics” Series. He is coeditor, with Steven Greenberg, of the book Computational Models of Auditory Function. Dr. Slaney has worked at Bell Laboratory, Schlumberger Palo Alto Research, Apple Computer, Interval Research, IBM’s Almaden Research Center, Yahoo! Research, Microsoft Research and Google Research. For many years, he has lead the auditory group at the Telluride Neuromorphic Cognition Workshop. Dr. Slaney’s recent work is on applying machine learning ideas to audio perception. He is a Fellow of the IEEE.
FREE
Open to the Public