George Tzanetakis
Scholar

George Tzanetakis

Google Scholar ID: yPgxxpwAAAAJ
Professor of Computer Science, Faculty of Engineering, University of Victoria
music information retrievalaudio signal processingmachine learninghuman-computer interaction
Citations & Impact
All-time
Citations
3,262
 
H-index
22
 
i10-index
54
 
Publications
20
 
Co-authors
88
list available
Publications
1 items
Resume (English only)
Academic Achievements
  • 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.