Data Musicalization

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Tulilaulu , A , Nelimarkka , M , Paalasmaa , J , Johnson , D , Ventura , D , Myllys , P & Toivonen , H 2018 , ' Data Musicalization ' , ACM Transactions on Multimedia Computing Communications and Applications , vol. 14 , no. 2 , 47 . https://doi.org/10.1145/3184742

Title: Data Musicalization
Author: Tulilaulu, Aurora; Nelimarkka, Matti; Paalasmaa, Joonas; Johnson, Daniel; Ventura, Dan; Myllys, Petri; Toivonen, Hannu
Contributor: University of Helsinki, Department of Computer Science
University of Helsinki, Department of Computer Science
University of Helsinki, Department of Computer Science
University of Helsinki, Department of Computer Science
Date: 2018-05
Language: eng
Number of pages: 27
Belongs to series: ACM Transactions on Multimedia Computing Communications and Applications
ISSN: 1551-6857
URI: http://hdl.handle.net/10138/237053
Abstract: Data musicalization is the process of automatically composing music based on given data, as an approach to perceptualizing information artistically. The aim of data musicalization is to evoke subjective experiences in relation to the information, rather than merely to convey unemotional information objectively. This paper is written as a tutorial for readers interested in data musicalization. We start by providing a systematic characterization of musicalization approaches, based on their inputs, methods and outputs. We then illustrate data musicalization techniques with examples from several applications: one that perceptualizes physical sleep data as music, several that artistically compose music inspired by the sleep data, one that musicalizes on-line chat conversations to provide a perceptualization of liveliness of a discussion, and one that uses musicalization in a game-like mobile application that allows its users to produce music. We additionally provide a number of electronic samples of music produced by the different musicalization applications.
Subject: 113 Computer and information sciences
Computational Creativity
Artificial Intelligence
Multimedia
Automated Composision
Data Analysis
Data Science
6131 Theatre, dance, music, other performing arts
Music
Algorithmic Composition
Data musicalization
sonification
automated composition
music
data analysis
computational creativity
WALKING STYLES
SONIFICATION
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