The Doctoral Colloquium is open to all.
Doctoral students (Music) for whom attendance is required must sign the attendance sheet at the colloquium.
The Art of Teaching Computers: The SIMSSA Optical Music Recognition Workflow System
In many machine learning systems, it would be effective to create a pedagogical environment where both the machines and the humans can incrementally learn to solve problems through interaction and adaptation. We are designing an optical music recognition workflow system, where human operators can intervene to correct and teach the system at certain stages so that both parties can learn from the errors and, consequently, the overall performance is increased progressively as more music scores are processed.
Ichiro Fujinaga is an Associate Professor in the Music Technology Area at the Schulich School of Music at McGill University. He has Bachelor’s degrees in Music/Percussion and Mathematics from University of Alberta, a Master's degree in Music Theory, and a Ph.D. in Music Technology from McGill University. In 2003-4, he was the Acting Director of the Center for Interdisciplinary Research in Music Media and Technology (CIRMMT). In 2016–17, he was the Associate Dean (Research), Department of Music Research. Before returning to McGill in 2002, he was a faculty member of the Computer Music Department at the Peabody Conservatory of Music of the Johns Hopkins University. Research interests include music theory, machine learning, music perception, digital signal processing, genetic algorithms, and music information acquisition, preservation, and retrieval.