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Título

Analyzing musical expressivity with a soft computing approach

AutorArcos, Josep Lluis; Guaus, Enric; Ozaslan, Tan H.
Palabras claveComputing process
Classical guitar
Audio analysis
Analysis tools
Soft computing
Musical expressivity
Musical analysis
Fecha de publicación2013
EditorElsevier
CitaciónFuzzy Sets and Systems 214: 65- 74 (2013)
ResumenIn this paper we present our research on the design of a tool to analyze musical expressivity. Musical expressivity is a human activity difficult to model computationally because of its nature: implicitly acquired by musicians through a long process of listening and imitation. We propose the use of soft computing techniques to deal with this problem. Specifically, from a collection of sound features obtained by using state of the art audio analysis algorithms, we apply a soft computing process to generate a compact and powerful representation. Moreover, we have designed a graphical user interface to provide a flexible analysis tool. We are using the analysis tool in the guitarLab project, focused on the study of musical expressivity of classical guitar. © 2012 Elsevier B.V.
URIhttp://hdl.handle.net/10261/132703
DOI10.1016/j.fss.2012.01.019
Identificadoresdoi: 10.1016/j.fss.2012.01.019
issn: 0165-0114
uri: http://www.sciencedirect.com/science/article/pii/S0165011412000528
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