Perceptual basis of evolving Western musical styles

The brain processes temporal statistics to predict future events and to categorize perceptual objects. These statistics, called expectan- cies, are found in music perception, and they span a variety of different features and time scales. Specifically, there is evidence that music perception involves...

Descripción completa

Detalles Bibliográficos
Autores principales: Shifres, Favio, Rodríguez Zivic, Pablo H., Cecchi, Guillermo A.
Formato: Articulo
Lenguaje:Inglés
Publicado: 2013
Materias:
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/53310
http://www.pnas.org/content/110/24/10034.full.pdf
Aporte de:
id I19-R120-10915-53310
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Bellas Artes
Música
pattern recognition; psychology; computational cognition; culturomics
spellingShingle Bellas Artes
Música
pattern recognition; psychology; computational cognition; culturomics
Shifres, Favio
Rodríguez Zivic, Pablo H.
Cecchi, Guillermo A.
Perceptual basis of evolving Western musical styles
topic_facet Bellas Artes
Música
pattern recognition; psychology; computational cognition; culturomics
description The brain processes temporal statistics to predict future events and to categorize perceptual objects. These statistics, called expectan- cies, 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 distri- bution 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.
format Articulo
Articulo
author Shifres, Favio
Rodríguez Zivic, Pablo H.
Cecchi, Guillermo A.
author_facet Shifres, Favio
Rodríguez Zivic, Pablo H.
Cecchi, Guillermo A.
author_sort Shifres, Favio
title Perceptual basis of evolving Western musical styles
title_short Perceptual basis of evolving Western musical styles
title_full Perceptual basis of evolving Western musical styles
title_fullStr Perceptual basis of evolving Western musical styles
title_full_unstemmed Perceptual basis of evolving Western musical styles
title_sort perceptual basis of evolving western musical styles
publishDate 2013
url http://sedici.unlp.edu.ar/handle/10915/53310
http://www.pnas.org/content/110/24/10034.full.pdf
work_keys_str_mv AT shifresfavio perceptualbasisofevolvingwesternmusicalstyles
AT rodriguezzivicpabloh perceptualbasisofevolvingwesternmusicalstyles
AT cecchiguillermoa perceptualbasisofevolvingwesternmusicalstyles
bdutipo_str Repositorios
_version_ 1764820475849998337