Record number :
1601634
Title of article :
Analyzing musical expressivity with a soft computing approach
Author/Authors :
Arcos، نويسنده , , Josep Lluis and Guaus، نويسنده , , Enric and Ozaslan، نويسنده , , Tan H.، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2013
Pages :
10
From page :
65
To page :
74
Abstract :
In 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.
Keywords :
Soft Computing , Musical expressivity , musical analysis
Journal title :
FUZZY SETS AND SYSTEMS
Serial Year :
2013
Link To Document :
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