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Musical Expression Generation Reflecting User’s Impression by Kansei Space and Fuzzy Rules
Author(s) -
Mio Suzuki,
Takehisa Onisawa
Publication year - 2012
Publication title -
journal of advanced computational intelligence and intelligent informatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.172
H-Index - 20
eISSN - 1343-0130
pISSN - 1883-8014
DOI - 10.20965/jaciii.2012.p0227
Subject(s) - expression (computer science) , kansei , computer science , musical , musical expression , impression , adjective , space (punctuation) , inference , fuzzy logic , image (mathematics) , artificial intelligence , natural language processing , speech recognition , art , visual arts , noun , world wide web , programming language , operating system
This paper proposes a generation method of musical expression based on a performer’s impression. The musical expression generation method consists of two procedures: image estimation and derivation of parameter values ofmusical expressions. In the image estimation procedure, an adjective, i.e., an image word, is mapped into the Kansei space. In the parameter values derivation procedure, parameter values of musical expression, tempo, volume and length of a note, are obtained by mapping from the Kansei space to the parameters’ space by fuzzy inference. The validity of the proposed method and the influence of music genres on musical expression generation are confirmed by subject experiments. From the experimental results it is found that the proposedmethod successfully generates musical expression reflecting impressions and musical expression in several genres.

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