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Algorithmic composition with cognitive constraints

Talk with Prof. Morwaread Farbood from New York University

 
 
 
 
 
 
 
 

INVITATION
Thursday 14 March at 3 p.m.
- BC420

This talk describes a method of using algorithmic composition to better understand aesthetic preferences for musical structures.  The idea is to impose certain constraints on the music generation process that might make the music more coherent.  Two types of constraints are explored: the first incorporates aspects of Huron’s (2013) theory of repetition and the second involves using tension profiles that align with structural boundaries in the generated music.

Morwaread Farbood is an Associate Professor and Associate Director of Music Technology in the Department of Music and Performing Arts Professions at New York University.  She is also affiliated with the Max Planck/NYU Center for Language, Music, and Emotion (CLaME) and the NYU Music and Audio Research Laboratory (MARL).

Her research focuses on understanding and modeling real-time aspects of music listening. She has examined how emergent phenomena such as tonality and musical tension are experienced by listeners and, in conjunction, developed computer-assisted composition systems that utilize cognitive models for music analysis and generation.

Organization: Digital and Cognitive Musicology Lab (DCML)

Open to all