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Malcolm Slaney, Yahoo! Research, USA: "Understanding music on the Web: A Yahoo perspective"

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Quoi ?
  • Distinguished Lecture
Quand ? 21/10/2010
du 16:30 au 18:00
Où ? Clara Lichtenstein Recital Hall (C-209), Schulich School of Music, McGill University, 555 Sherbrooke St. West, Montreal QC
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ABSTRACT:

Without a doubt the Internet has changed the way people consume music.  But it also brings a wealth of data and new opportunities for music-information retrieval services. Our goal is to connect users with their entertainment and information needs.

The data is both plentiful and noisy.  We have billions of ratings by users about their musical interests.  One one hand the the large amount of data means we can build robust models.  On the other hand, the data does come from people, with all their idiosyncratic behavior and opinions.  This wealth of personal data---we have to assume it is all correct---sometimes means what we think it means, and other times represents personal behaviors unrelated to anybody else's opinion. Separating out the signal from the noise is the new frontier for web sciences.

I'll illustrate my talk with several kinds of technologies we find interesting, drawing from successes we have had from all types of multimedia.  These approaches impact recommendations, tagging, and search.  Our approaches draw heavily from the world of machine learning, often taking novel directions because of the size of our datasets. The new frontiers of music science are wonderful.

 

ABOUT MALCOLM SLANEY:

Malcolm Slaney is a principal scientist at Yahoo! Research Laboratory. He received his PhD from Purdue University for his work on computed imaging. 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.” Before Yahoo!, he has worked at Bell Laboratory, Schlumberger Palo Alto Research, Ap- ple Computer, Interval Research and IBM’s Almaden Research Center. He is also a (consulting) Professor at Stanford’s CCRMA where he organizes and teaches the Hearing Seminar. His research interests include auditory modeling and perception, multimedia analysis and synthesis, music similarity and audio search, and machine learning. For the last several years he has lead the auditory group at the Telluride Neuromorphic Workshop. He is a Fellow of the IEEE.

 

VIDEO ARCHIVE - MALCOLM SLANEY 

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