Anders Friberg

Anders Friberg is a Professor at KTH Royal Institute of Technology, affiliated with the School of Electrical Engineering and Computer Science (EECS) and the Department of Speech, Music and Hearing. His research focuses on music communication, perception, and modeling, encompassing topics such as music performance, expressive timing, and the interplay between music and emotion. He leads projects in computational models for music analysis, audio signal processing, and the neuroscience of music. His work bridges musicology, computer science, and cognitive science.

Research Interests:

• Music perception and modeling
• Expressive performance analysis
• Audio feature extraction
• Music emotion and crossmodal perception
• Neuroscience of singing and vocal production

Key Contributions:

• Development of the KTH rule system for musical performance
• Studies on jazz swing rhythms and ensemble timing
• Computational models for accent salience and dynamics
• Investigations into insula connectivity in trained singers

Publications highlight interdisciplinary approaches, with recent work on vocal sound imitation models, child-computer interaction in music learning, and neural correlates of musical expression.