Teaching Machines to Listen
Northwestern University
May 27, 2010
12:50-1:50
room TBD
Abstract

Music collections comprise one of the most popular categories of online multimedia content, as evidenced by the millions of recordings available in online repositories such as Emusic, Yahoo! Music, Rhapsody and Apple's iTunes. These vast online collections let the average person access and hear more music than was possible for even music scholars only a few years ago. Of course, finding a music document is only the beginning - a step to initiate the task at hand. Bryan Pardo and his students in the Northwestern University Interactive Audio Lab develop key technologies that let composers, researchers, performers and casual listeners retrieve, study, edit and interact with music in new ways. This talk will provide an overview of recent work in the lab. Projects include: a music search engine that finds a song from a melody sung to the computer (audio database search); a cell phone based karaoke game (social computing), automated music video creation (digital culture); a system that learns to recognize sounds from an audio mixture and uses its learned knowledge to label new recordings (machine learning and source identification); and a system to automatically personalize the user interface of audio production software (human computer interaction).

Bryan Pardo is an Assistant Professor at Northwestern University in the Department of Electrical Engineering and Computer Science. He received his PhD in Computer Science from the University of Michigan. He also has a Bachelors degree in Jazz Composition and a Masters degree in Computer Science from the Ohio State University, and a Masters degree in Jazz and Improvisation from the University of Michigan. (See his website for more information.

Lunch will be served starting at 12:15pm.

Please email Kristina Striegnitz (striegnk@union.edu) if you have any questions concerning the seminar series or if you would like to receive the seminar announcements by email.