Seeing sound “How to generate visual artworks by analysing a music track and representing it in terms of emotion analysis and musical features?”
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Journal Title
Journal ISSN
Volume Title
School of Arts, Design and Architecture |
Master's thesis
Location:
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Author
Date
2020
Department
Major/Subject
Mcode
Degree programme
Language
en
Pages
67
Series
Abstract
Music and visual artwork are a valuable part of our daily life. Since both media induce human emotion, this thesis demonstrates how to convert music into visual artwork such as generative art. Especially, the project shows the method of connecting music emotion to the theme of colour. This thesis describes the human emotional model based on arousal and valence. Also, this thesis explains how colour affects our emotion. In order to connect music emotion into the colour theme, this thesis shows the method to retrieve music information which includes arousal and valence of the music. In order to generate visual artwork from the music, this thesis demonstrates the implementation of working software that integrates music emotion and musical characteristics such as frequency analysis. Besides, this thesis presents how to apply generative artwork into our daily life products. This thesis discusses learning outcomes from the project based on practice-based research methodology. Also, this thesis introduces a further plan related to AI.Description
Supervisor
Niinimäki, MattiThesis advisor
Correia, NunoNiinimäki, Matti
Keywords
generative art, music visualisation, emotion in music, processing, openframeworks, FFT analysis
