***Location: Morrison Hall, room 128
Saturday, February 21st (10am-6pm) and
Sunday, February 22nd (1-6pm)***

Music Information Retrieval (MIR) is an interdisciplinary field bridging the domains of music, performance, audio signal processing, cognition, software system design, and machine learning. Throughout Spring 2015 and in collaboration with the Center for New Music and Audio Technologies and CNMAT Users Group, the MIR @ Berkeley group is mediating lectures and workshops in MIR by experts from Pandora, Gracenote and Humtap.

This MIR hands-on workshop with Steve Tjoa addresses in practice some of the algorithms and libraries used in Music Information Retrieval, giving participants the opportunity to hack their own MIR based apps! This workshop is intended for musicians, students and researchers who are unfamiliar with the field of Music Information Retrieval (MIR) and Machine Listening. Lectures will cover topics such as low-level feature extraction, generation of higher-level features such as chord estimation, audio similarity clustering, search, and retrieval techniques, and design and evaluation of machine classification systems.

Steve Tjoa (http://stevetjoa.com) is a researcher and engineer in the areas of signal processing and machine learning for MIR. He was most recently a member of the MIR team at Humtap in San Francisco. Before that, he worked on content-based audio recognition and recommendation as an NSF-sponsored postdoctoral fellow at iZotope and Imagine Research (acquired by iZotope). He has also worked as a consultant in the areas of audio/image signal processing, machine learning, and information retrieval.

All participants in this workshop must have a reserved seat. Seating is limited.
***RSVP to Rafael Valle: rafaelvalle@berkeley.edu***