Towards the Automatic Recommendation of Musical Parameters based on Algorithm for Extraction of Linguistic Rules

Authors

  • Félix Castro Espinoza Universidad Autónoma del Estado de Hidalgo, Área Académica de Sistemas Computacionales
  • Omar López-Ortega Universidad Autónoma del Estado de Hidalgo, Área Académica de Sistemas Computacionales
  • Anilú Franco-Árcega Universidad Autónoma del Estado de Hidalgo, Área Académica de Sistemas Computacionales

DOI:

https://doi.org/10.13053/cys-18-3-2048

Keywords:

Recommender systems, knowledge discovery, rules extraction, fractal music.

Abstract

In the present article the authors describe an analysis of data associated to the emotional responses to fractal generated music. This analysis is done via discovery of rules, and it constitutes the basis to elevate computer-assisted creativity: Our ultimate goal is to create musical pieces by retrieving the right set of parameters associated to a target emotion. This paper contains the description of (i) variables associated to fractal music and emotions; (ii) the data gathering method to obtain the tuples relating input parameters and emotional responses; (iii) the rules that where discovered by using an algorithm LR-FIR. Even though similar experiments whose intention is to elucidate emotional responses from music have been reported, this study stands because a connection is appointed between fractal-generated music and emotional responses, all with the purpose of advancing in computer-assisted creativity.

Author Biographies

Félix Castro Espinoza, Universidad Autónoma del Estado de Hidalgo, Área Académica de Sistemas Computacionales

Félix Castro received his BSc degree in Computer Systems from Technical Institute of Huatabampo, Sonora, Mexico, his MSc in Computer Science from the National Research Center and Technological Development, Morelos, Mexico. Additionally, Félix Castro obtained a MSc and PhD degree in Artificial Intelligence from Universidad Politécnica de Cataluña, Barcelona, Spain. His research interests include Artificial Intelligence, Data Mining, e-Learning, and Software Engineering.

Omar López-Ortega, Universidad Autónoma del Estado de Hidalgo, Área Académica de Sistemas Computacionales

Omar López-Ortega received his BSc degree in Electronics and Communications Enginnering from Instituto Politécnico Nacional, México, and his PhD degree from Universidad Politécnica de Madrid, Spain. His research interests include Multi-Agent Systems, Cognitive Computing, and Distributed Intelligent Systems.

Anilú Franco-Árcega, Universidad Autónoma del Estado de Hidalgo, Área Académica de Sistemas Computacionales

Anilú Franco-Árcega received her BSc degree and MSc degree in Computer Science from Autonomous University of Hidalgo State in 2003 and 2006, respectively. Her PhD degree was obtained from National Institute of Astrophysics, Optics and Electronics in 2010. Her research interests are Data Mining, Parallel Systems and Pattern Recognition.

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Published

2014-09-29

Issue

Vol. 18 No. 3 (2014): 18(3) 2014 Thematic issue: Computational linguistics (Guest editor: Alexander Gelbukh)

Section

Articles

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