The Music Informatics group is concerned with research aimed at extending the understanding and usefulness of digital music data, through the research, development and application of computational approaches and tools. This specialization of informatics, spanning fields as diverse as music, signal processing and machine learning, shows great potential for scientific, cultural and commercial profit that can benefit consumers, music scholars and creators, and support the archiving and dissemination efforts of libraries, music stores, content owners and radio stations. Our research interests include the automatic modeling of temporal dynamics in music, the creation of interactive visualizations of music and the content-based analysis of digital music collections.

The music informatics group aims to contribute to the improvement of music information retrieval methods, and members of the group output competitive research at the international level.

The focus of the Immersive Audio group lies in the capture, analysis, synthesis and reproduction of auditory environments. This includes spatial and 3D sound using binaural, transaural and multi-channel presentation methods, audio display devices, virtual auditory environment simulation, characterization and classification of spaces, and augmented audio reproduction realism.

The Computer Music and Interactive Performance Systems group is concerned with technologies that enable and enhance live musical performances that include both human and computer performers. Such technologies include interactive music systems, new interfaces, distributed performance networks, and algorithmic composition.

The MARL Music Cognition group focuses on modeling the complex mental processes involved in the perception and production of music. Our approach integrates multiple perspectives, including theoretical modeling, experimental psychology, and computation. Current topics being explored range from the cognition of basic musical structures, such as harmony and rhythm, to higher-level phenomena like expectation, tension, and expression. An important research goal of the group is to understand and utilize the implications of cognition for analysis and modeling in the domains of performance, composition, and improvisation.