A preliminary framework of measuring music attractiveness based on facial beauty theory

Citation

Hoo, Yong Leng and Mohd Norowi, Noris and Jantan, Azrul Hazri (2016) A preliminary framework of measuring music attractiveness based on facial beauty theory. In: 2016 4th International Conference on User Science and Engineering (i-USEr 2016), 23-25 Aug. 2016, Melaka, Malaysia. (pp. 188-192).

Abstract

Music is a performing art that put varieties of sound together to form a sequence of sound that people will find it interesting. In past, only those with certain level of musical knowledge were able to compose music as it is very time consuming to learn and practice musical instruments. Since the advent of modern computing, various methods were introduced to help music composition, such as Markov Chain (MC), Genetic Algorithm, Knowledge-Based system, and Cellular Automata. However, previous studies were paying less effort on evaluating the quality of music from human perception. The proposed system will apply a hybrid concept by combining few composition techniques to generate music with musical patterns. A framework on determining characteristics of a good music will be proposed in this paper as well.

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Additional Metadata

Item Type:	Conference or Workshop Item (Paper)
Divisions:	Faculty of Computer Science and Information Technology
DOI Number:	https://doi.org/10.1109/IUSER.2016.7857958
Publisher:	IEEE
Keywords:	Algorithmic composition; Artificial intelligence; Automatic music composition; Human perception; Musical patterns
Depositing User:	Nabilah Mustapa
Date Deposited:	31 Jul 2017 04:13
Last Modified:	31 Jul 2017 04:13
Altmetrics:	http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1109/IUSER.2016.7857958
URI:	http://psasir.upm.edu.my/id/eprint/56256
Statistic Details:	View Download Statistic

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