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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 three recent projects developed in the lab: Tunebot - a music search engine that finds a song from a melody sung to the computer, SocialEQ - a system to automatically personalize the user interface of audio production software, and REPET – a system that automatically separates audio recordings into (vocal) foregrounds and (instrumental) backgrounds by learning the musical groove.
Bryan Pardo, head of the Northwestern University Interactive Audio Lab, is an associate professor in the Northwestern University Department of Electrical Engineering and Computer Science and acting head of the Cognitive Systems division. Prof. Pardo received a M. Mus. in Jazz Studies in 2001 and a Ph.D. in Computer Science in 2005, both from the University of Michigan. He has authored over 60 peer-reviewed publications. He is an associate editor for IEEE Transactions on Audio Speech and Language Processing. He has developed speech analysis software for the Speech and Hearing department of the Ohio State University, statistical software for SPSS and worked as a machine learning researcher for General Dynamics. While finishing his doctorate, he taught in the Music Department of Madonna University. When he's not programming, writing or teaching, he performs throughout the United States on saxophone and clarinet at venues such as Albion College, the Chicago Cultural Center, the Detroit Concert of Colors, Bloomington Indiana's Lotus Festival and Tucson's Rialto Theatre.