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

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1. Verfasser: Félix Castro Espinoza
Format: Artículo científico
Sprache:en
Veröffentlicht: Instituto Politécnico Nacional 2014
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author Félix Castro Espinoza
author_facet Félix Castro Espinoza
contents Towards the Automatic Recommendation of Musical Parameters based on Algorithm for Extraction of Linguistic Rules Félix Castro Espinoza Omar López-Ortega Anilú Franco-Árcega Computación ery fractal music knowledge discov rules extraction Recommender systems 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 cre- ate musical pieces by retrieving the right set of parame- ters 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 re- sponses; (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 mu- sic and emotional responses, all with the purpose of advancing in computer-assisted creativity. 2014 artículo científico 1405-5546 https://www.redalyc.org/articulo.oa?id=61532067017 en http://www.redalyc.org/revista.oa?id=615 Computación y Sistemas application/pdf Instituto Politécnico Nacional Computación y Sistemas (México) Num.3 Vol.18
format Artículo científico
id redalyc_61532067017
institution Redalyc
language en
publishDate 2014
publisher Instituto Politécnico Nacional
spellingShingle Towards the Automatic Recommendation of Musical Parameters based on Algorithm for Extraction of Linguistic Rules
Félix Castro Espinoza
Computación
ery
fractal music
knowledge discov
rules extraction
Recommender systems
Towards the Automatic Recommendation of Musical Parameters based on Algorithm for Extraction of Linguistic Rules Félix Castro Espinoza Omar López-Ortega Anilú Franco-Árcega Computación ery fractal music knowledge discov rules extraction Recommender systems 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 cre- ate musical pieces by retrieving the right set of parame- ters 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 re- sponses; (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 mu- sic and emotional responses, all with the purpose of advancing in computer-assisted creativity. 2014 artículo científico 1405-5546 https://www.redalyc.org/articulo.oa?id=61532067017 en http://www.redalyc.org/revista.oa?id=615 Computación y Sistemas application/pdf Instituto Politécnico Nacional Computación y Sistemas (México) Num.3 Vol.18
title Towards the Automatic Recommendation of Musical Parameters based on Algorithm for Extraction of Linguistic Rules
topic Computación
ery
fractal music
knowledge discov
rules extraction
Recommender systems
url https://www.redalyc.org/articulo.oa?id=61532067017