Models of Music Cognition and Composition
Abhimanyu Sethia, Aayush

TL;DR
This paper reviews interdisciplinary approaches to understanding music cognition and composition, highlighting computational models, creative behavior modeling, and systems capable of music creation.
Contribution
It provides a comprehensive overview of existing models of music perception and composition, integrating cognitive science and computational methods.
Findings
Overview of various models of music perception
Discussion of computational systems for music composition
Summary of interdisciplinary approaches in music cognition
Abstract
Much like most of cognition research, music cognition is an interdisciplinary field, which attempts to apply methods of cognitive science (neurological, computational and experimental) to understand the perception and process of composition of music. In this paper, we first motivate why music is relevant to cognitive scientists and give an overview of the approaches to computational modelling of music cognition. We then review literature on the various models of music perception, including non-computational models, computational non-cognitive models and computational cognitive models. Lastly, we review literature on modelling the creative behaviour and on computer systems capable of composing music. Since a lot of technical terms from music theory have been used, we have appended a list of relevant terms and their definitions at the end.
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Taxonomy
TopicsNeuroscience and Music Perception · Music and Audio Processing · Neural Networks and Applications
