On September 7th, members of AIRIS LAB attended the summer school organized by the Korean Society for Music Perception and Cognition (KSMPC). The event featured three presentations, each offering a unique perspective on various aspects of music perception. Each session covered topics on music source separation, music therapy, and music and brain.
Chang-Bin Jeon from Samsung Electronics MX Division delivered a lecture titled “Introduction to Music Source Separation.” He provided an overview of AI-based music source separation, explaining the general concepts and workflows involved. The lecture included discussions of state-of-the-art models, insights into his research, and prospects for future advancements.
The second presentation, “From Text to Experience: Evidence for Music Therapy as a Practical Approach,” was given by Ga Eul Yoo from the Department of Music Therapy at Ewha Womans University. Her lecture highlighted the importance of practical decision-making in real-life scenarios and the potential gaps between theoretical perspectives and practical application.
Lastly, Seung-Goo Kim from the Max Planck Institute for Empirical Aesthetics presented “Linearized Encoding Modeling: Predictive Analysis Methodology of Music Perception.” This session focused on techniques for modeling and analyzing music perception using mathematical and quantitative methods, including neural networks and linear encoding approaches.
The event concluded successfully, offering valuable insights into the perception of auditory systems.