Por favor, use este identificador para citar o enlazar este ítem: https://hdl.handle.net/20.500.12008/30458

Título:

The Interpersonal Entrainment in Music Performance Data Collection

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Coordinador:

Director:

Compilador:

Autor:

Clayton, Martin
Tarsitani, Simone
Jankowsky, Richard
Jure, Luis
Leante, Laura
Polak, Rainer
Poole, Adrian
Rocamora, Martín
Alborno, Paolo
Camurri, Antonio
Eerola, Tuomas
Jacoby, Nori
Jakubowski, Kelly

Tutor:

Tipo de documento:

Artículo

Editor:

Palabras clave:

Ethnomusicology
Music cognition
Computational musicology
Entrainment
Synchronization
Music performance
Open Science
FAIR principles

Descriptores:

Año de publicación:

2021

Contenido:

Resumen:

The Interpersonal Entrainment in Music Performance Data Collection (IEMPDC) comprises six related corpora of music research materials: Cuban Son & Salsa (CSS), European String Quartet (ESQ), Malian Jembe (MJ), North Indian Raga (NIR), Tunisian Stambeli (TS), and Uruguayan Candombe (UC). The core data for each corpus comprises media files and computationally extracted event onset timing data. Annotation of metrical structure and code used in the preparation of the collection is also shared. The collection is unprecedented in size and level of detail and represents a significant new resource for empirical and computational research in music. In this article we introduce the main features of the data collection and the methods used in its preparation. Details of technical validation procedures and notes on data visualization are available as Appendices. We also contextualize the collection in relation to developments in Open Science and Open Data, discussing important distinctions between the two related concepts.

Descripción:

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Editorial:

The Ohio State University Libraries

EN:

Empirical Musicology Review, Volume 16, Number 1, dec. 2021, pp. 65-84.

Financiadores:

Citación:

Clayton, M., Tarsitani, S., Jankowsky, R. y otros. "The Interpersonal Entrainment in Music Performance Data Collection". Empirical Musicology Review. [en línea]. 2021, vol. 16, no 1, pp. 65-84. DOI: dx.doi.org/10.18061/emr.v16i1.7555.

Citación:

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ISBN:

e-ISBN:

ISSN:

1559-5749

ISMN:

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Cobertura geográfica:

Cobertura temporal:

Departamento académico:

Procesamiento de Señales

Grupo de investigación:

Procesamiento de Audio

Licencia:

Licencia Creative Commons Atribución - No Comercial (CC - By-NC 4.0)
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