Exposition

Aimpathy (2023)

Amit Yungman

About this exposition

Much research has been done to better understand the emotional experience of music; from the philosophical, artistic, psychological, and statistical approaches. In this research we conduct a cross-domain experiment based on those four disciplines, to further understand the factors that influence the emotional perception of music; and in particular the difference between the artist’s emotional conception and the audience’s perception. In the experiment we train a novel model of an Artificial Neural Network, to predict the perceived emotion from a short musical phrase. We then feed the machine curated input, which simulates artistic choices, to explore its most significant factors in determining the perceived emotions. In the conclusion we describe the results, as well as the possible follow-ups to the experiment, such as an emotional expression training tool for musicians.
typeresearch exposition
keywordsemotion, music, perception, expression, neural network, emotions, Artificial Intelligence (AI), Data Science
date09/11/2022
published15/05/2023
last modified15/05/2023
statuspublished
share statusshared with registered RC users
copyrightAmit Yungman
licenseCC BY-NC-ND
languageEnglish
urlhttps://www.researchcatalogue.net/view/1790959/1790960
doihttps://doi.org/10.22501/koncon.1790959
published inKC Research Portal
portal issue1. Master Research Projects


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comments: 1 (last entry by Johannes Boer - 18/02/2023 at 14:11)