Recipient of the Craigdarroch research award in artistic expression at the University of Victoria (2012). His pioneering work on musical genre classification received an IEEE Signal Processing Society Young Author Award and is frequently cited. Primary designer and developer of Marsyas, an open-source framework for audio processing with a specific emphasis on music information retrieval applications.
Research Experience
Professor in the Department of Computer Science with cross-listed appointments in ECE and Music at the University of Victoria, Canada. Canada Research Chair (Tier II) in the Computer Analysis of Audio and Music. Visiting Faculty at Google Research (2011). Research spans all stages of audio content analysis such as feature extraction, segmentation, classification, with a specific emphasis on music information retrieval.
Education
PhD in Computer Science from Princeton University (2002). Post-Doctoral fellow at Carnegie Mellon University (2002-2003).
Background
Research Interests: Computer analysis of audio and music signals. Combines ideas from digital signal processing, machine learning, and human-computer interaction. Personal interests include computer programming, shooting hoops, and playing music.
Miscellany
Explores new interfaces for musical expression, music robotics, computational ethnomusicology, and computer-assisted music instrument tutoring. These interdisciplinary activities combine ideas from signal processing, perception, machine learning, sensors, actuators, and human-computer interaction to make computers better understand music and create more effective interactions with musicians and listeners.