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...
Guardado en:
| Autores principales: | , , |
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| Formato: | Articulo |
| Lenguaje: | Inglés |
| Publicado: |
2013
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| 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 |
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| 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 |
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Repositorios |
| _version_ |
1764820475849998337 |