معرفی
Ichiro Fujinaga is a Professor at McGill University's Schulich School of Music, specializing in Music Technology and Optical Music Recognition (OMR). His research focuses on digitizing and computationally analyzing historical and modern music scores, particularly through projects like the Single Interface for Music Score Searching and Analysis (SIMSSA). He leads the Distributed Digital Music Archives & Libraries Lab (DDMAL), advancing technologies for music document analysis and symbolic encoding.
He holds a PhD from McGill University and has pioneered methods for automated music transcription, ancient notation decoding, and machine learning applications in musicology. His work includes developing neural network approaches for layout analysis, timbre quality assessment, and error detection in OMR systems. Key contributions include the creation of datasets for evaluating harmonic analysis, figured bass annotation, and medieval manuscript processing.
Dr. Fujinaga has received significant recognition, including a Canada Research Chair (2014) and SSHRC Grant. His research bridges computer science, musicology, and digital humanities, with projects addressing challenges in musical instrument encoding, cross-cultural notation systems, and large-scale music corpus creation.
Teaching and mentorship are central to his role, overseeing graduate studies in Music Technology and advising on interdisciplinary research. His lab collaborates globally to advance digital music libraries and open-access platforms for musicological inquiry.
