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Perceptual basis of evolving Western musical styles.
Rodriguez Zivic, Pablo H; Shifres, Favio; Cecchi, Guillermo A.
Afiliação
  • Rodriguez Zivic PH; Computer Science Department, University of Buenos Aires, 1428 Buenos Aires, Argentina. prodriguez@dc.uba.ar
Proc Natl Acad Sci U S A ; 110(24): 10034-8, 2013 Jun 11.
Article em En | MEDLINE | ID: mdl-23716669
The brain processes temporal statistics to predict future events and to categorize perceptual objects. These statistics, called expectancies, are found in music perception, and they span a variety of different features and time scales. Specifically, there is evidence that music perception involves strong expectancies regarding the distribution of a melodic interval, namely, the distance between two consecutive notes within the context of another. The recent availability of a large Western music dataset, consisting of the historical record condensed as melodic interval counts, has opened new possibilities for data-driven analysis of musical perception. In this context, we present an analytical approach that, based on cognitive theories of music expectation and machine learning techniques, recovers a set of factors that accurately identifies historical trends and stylistic transitions between the Baroque, Classical, Romantic, and Post-Romantic periods. We also offer a plausible musicological and cognitive interpretation of these factors, allowing us to propose them as data-driven principles of melodic expectation.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Percepção da Altura Sonora / Percepção Auditiva / Cognição / Música Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Proc Natl Acad Sci U S A Ano de publicação: 2013 Tipo de documento: Article País de afiliação: Argentina País de publicação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Percepção da Altura Sonora / Percepção Auditiva / Cognição / Música Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Proc Natl Acad Sci U S A Ano de publicação: 2013 Tipo de documento: Article País de afiliação: Argentina País de publicação: Estados Unidos