An AI Dress Rehearsal: Exploring Music Performance and Interaction with Computational Models

Lecture series MUSIC, THE ARTS & MATH

CARLOS CANCINO-CHACÓN (Institute of Computational Perception at Johannes Kepler University Linz, AT)

This talk focuses on computational models of expressive music performance. These models aim to codify hypotheses about expressive performance using mathematical formulas or computer programs, enabling systematic and quantitative analysis. The models serve two main purposes: they allow us to systematically test hypotheses about how music is performed, and they can be used as tools to create automated or semi-automated performances in artistic and educational settings.

Carlos Cancino-Chacón. His research focuses on machine learning models for understanding music performance and listening, with an emphasis on three areas: computational modeling of expressive performance, (real-time) human–computer interaction in music, and cognitively plausible machine listening.

In English

Organized by focus area InterMediation. Music – Effect – Analysis in cooperation with the Mathematics Department of University of Salzburg in series Music, the Arts & Math.

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The Salzburg series MUSIC, THE ARTS & MATH focusses on interdisciplinary networks and perspectives between the disciplines. It is organized and designed in collaboration with international experts from the fields of mathematics, statistics, computer science, AI, composition, art, dance, film, and music research and provides insights into current research and developments in the border areas between the scientific disciplines.