Home > Seminars > CSE Seminar Series - Google Music: Large-Scale Music Recommendation and Discovery

CSE Seminar Series - Google Music: Large-Scale Music Recommendation and Discovery

Start:

11/9/2012 at 3:30PM

End:

11/9/2012 at 5:00PM

Location:

131 DeBartolo

Host:

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Kevin Bowyer

Kevin Bowyer

VIEW FULL PROFILE Email: kwb@nd.edu
Phone: 574-631-9978
Website: http://www.nd.edu/~kwb
Office: 321 Stinson-Remick Hall

Affiliations

Biometrics, data mining, computer vision, pattern recognition, applications to medical imaging, ethics and computing, computer science education.
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574-631-9978
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I'll give an overview of recent research at Google related to music recommendation and discovery. I'll spend most of the talk looking at (a) signal processing and sparse coding strategies for pulling relevant structure from audio and (b) training multi-class ranking models in order to build good music similarity spaces. Though I'll describe some technical aspects of automatic annotation of audio "autotagging") and ranking via embedding, the main goal of the talk is to foster a better understanding of the real-world challenges we face in helping users find music they'll love. To this end I'll play a number of audio demos illustrating what we can (and cannot) hope to achieve by working with audio. Though machine learning and signal processing experts will hopefully get something out of this talk, it is meant to be largely non-technical. Everyone, not only computer scientists and engineers, is welcome.

Seminar Speaker:

Douglas Eck

Google

Forthcoming.

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