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The Classification of Children’s Songs with the Classification Model CMCS / Klasifikacija otroških pesmi po klasifikacijskem modelu CMCS
Author(s) -
Lorena Mihelač,
Jelena Panić Grazio
Publication year - 2021
Publication title -
glasbenopedagoški zbornik/glasbeno-pedagoški zbornik
Language(s) - English
Resource type - Journals
eISSN - 2712-3987
pISSN - 1318-6876
DOI - 10.26493/2712-3987.17(35)41-58
Subject(s) - categorization , selection (genetic algorithm) , musical , computer science , model selection , artificial intelligence , speech recognition , natural language processing , literature , art
The paper presents a manual classification model, the Classification Model for the categorization of Children’s Songs (Model CMCS) for the selection of children’s songs based on the proposed criteria found in studies about the selection of children’s songs, on music theoretical background, and on findings from cross-cultural studies about (dis)similarities in children’s songs. A step-by-step procedure comprising four levels for the classification of songs is explained and applied in the first testing, employing two musical experts for the evaluation of three different songs. The results have shown that the Model CMCS is transparent (understandable), applicable, and useful and will be tested in the next stage on a larger number of songs and involving more musical experts. An improved version of the Model CMCS could be used in the future as a framework for an automatic classification model for the selection of children’s songs.

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