The Interpersonal Entrainment in Music Performance Data Collection

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

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.


Detalles Bibliográficos
2021
Ethnomusicology
Music cognition
Computational musicology
Entrainment
Synchronization
Music performance
Open Science
FAIR principles
Inglés
Universidad de la República
COLIBRI
https://emusicology.org/issue/view/278
https://hdl.handle.net/20.500.12008/30458
Acceso abierto
Licencia Creative Commons Atribución - No Comercial (CC - By-NC 4.0)
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author Clayton, Martin
author2 Tarsitani, Simone
Jankowsky, Richard
Jure, Luis
Leante, Laura
Polak, Rainer
Poole, Adrian
Rocamora, Martín
Alborno, Paolo
Camurri, Antonio
Eerola, Tuomas
Jacoby, Nori
Jakubowski, Kelly
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author_facet 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
author_role author
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dc.contributor.filiacion.none.fl_str_mv Clayton Martin, Durham University, United Kingdom
Tarsitani Simone, Durham University, United Kingdom
Jankowsky Richard, Tufts University, United States of America
Jure Luis, Universidad de la República (Uruguay). Facultad de Ingeniería.
Leante Laura, Durham University, United Kingdom
Polak Rainer, Max Planck Institute for Empirical Aesthetics, Germany
Poole Adrian, Private Scholar
Rocamora Martín, Universidad de la República (Uruguay). Facultad de Ingeniería.
Alborno Paolo, University of Genoa, Italy
Camurri Antonio, University of Genoa, Italy
Eerola Tuomas, Durham University, United Kingdom
Jacoby Nori, Max Planck Institute for Empirical Aesthetics, Germany
Jakubowski Kelly, Durham University, United Kingdom
dc.creator.none.fl_str_mv 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
dc.date.accessioned.none.fl_str_mv 2021-12-15T20:53:26Z
dc.date.available.none.fl_str_mv 2021-12-15T20:53:26Z
dc.date.issued.none.fl_str_mv 2021
dc.description.abstract.none.fl_txt_mv 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.
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dc.identifier.citation.es.fl_str_mv 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.
dc.identifier.doi.none.fl_str_mv dx.doi.org/10.18061/emr.v16i1.7555
dc.identifier.issn.none.fl_str_mv 1559-5749
dc.identifier.uri.none.fl_str_mv https://emusicology.org/issue/view/278
https://hdl.handle.net/20.500.12008/30458
dc.language.iso.none.fl_str_mv en
eng
dc.publisher.es.fl_str_mv The Ohio State University Libraries
dc.relation.ispartof.es.fl_str_mv Empirical Musicology Review, Volume 16, Number 1, dec. 2021, pp. 65-84.
dc.rights.license.none.fl_str_mv Licencia Creative Commons Atribución - No Comercial (CC - By-NC 4.0)
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
dc.source.none.fl_str_mv reponame:COLIBRI
instname:Universidad de la República
instacron:Universidad de la República
dc.subject.es.fl_str_mv Ethnomusicology
Music cognition
Computational musicology
Entrainment
Synchronization
Music performance
Open Science
FAIR principles
dc.title.none.fl_str_mv The Interpersonal Entrainment in Music Performance Data Collection
dc.type.es.fl_str_mv Artículo
dc.type.none.fl_str_mv info:eu-repo/semantics/article
dc.type.version.none.fl_str_mv info:eu-repo/semantics/publishedVersion
description 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.
eu_rights_str_mv openAccess
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identifier_str_mv 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.
1559-5749
dx.doi.org/10.18061/emr.v16i1.7555
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institution Universidad de la República
instname_str Universidad de la República
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publishDate 2021
reponame_str COLIBRI
repository.mail.fl_str_mv mabel.seroubian@seciu.edu.uy
repository.name.fl_str_mv COLIBRI - Universidad de la República
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rights_invalid_str_mv Licencia Creative Commons Atribución - No Comercial (CC - By-NC 4.0)
spelling Clayton Martin, Durham University, United KingdomTarsitani Simone, Durham University, United KingdomJankowsky Richard, Tufts University, United States of AmericaJure Luis, Universidad de la República (Uruguay). Facultad de Ingeniería.Leante Laura, Durham University, United KingdomPolak Rainer, Max Planck Institute for Empirical Aesthetics, GermanyPoole Adrian, Private ScholarRocamora Martín, Universidad de la República (Uruguay). Facultad de Ingeniería.Alborno Paolo, University of Genoa, ItalyCamurri Antonio, University of Genoa, ItalyEerola Tuomas, Durham University, United KingdomJacoby Nori, Max Planck Institute for Empirical Aesthetics, GermanyJakubowski Kelly, Durham University, United Kingdom2021-12-15T20:53:26Z2021-12-15T20:53:26Z2021Clayton, 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.v16i1.7555.1559-5749https://emusicology.org/issue/view/278https://hdl.handle.net/20.500.12008/30458dx.doi.org/10.18061/emr.v16i1.7555The 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.Submitted by Ribeiro Jorge (jribeiro@fing.edu.uy) on 2021-12-13T21:07:38Z No. of bitstreams: 2 license_rdf: 21687 bytes, checksum: 749156fd3854beb422ddf543c77fb5b1 (MD5) CTJJLPPRACEJJ21.pdf: 1689390 bytes, checksum: 8785d7c02dafa0edc7f80bbd7a7e0a7c (MD5)Approved for entry into archive by Machado Jimena (jmachado@fing.edu.uy) on 2021-12-15T19:02:40Z (GMT) No. of bitstreams: 2 license_rdf: 21687 bytes, checksum: 749156fd3854beb422ddf543c77fb5b1 (MD5) CTJJLPPRACEJJ21.pdf: 1689390 bytes, checksum: 8785d7c02dafa0edc7f80bbd7a7e0a7c (MD5)Made available in DSpace by Seroubian Mabel (mabel.seroubian@seciu.edu.uy) on 2021-12-15T20:53:26Z (GMT). No. of bitstreams: 2 license_rdf: 21687 bytes, checksum: 749156fd3854beb422ddf543c77fb5b1 (MD5) CTJJLPPRACEJJ21.pdf: 1689390 bytes, checksum: 8785d7c02dafa0edc7f80bbd7a7e0a7c (MD5) Previous issue date: 202120 p.application/pdfenengThe Ohio State University LibrariesEmpirical Musicology Review, Volume 16, Number 1, dec. 2021, pp. 65-84.Las obras depositadas en el Repositorio se rigen por la Ordenanza de los Derechos de la Propiedad Intelectual de la Universidad de la República.(Res. Nº 91 de C.D.C. de 8/III/1994 – D.O. 7/IV/1994) y por la Ordenanza del Repositorio Abierto de la Universidad de la República (Res. 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- Universidad de la Repúblicafalse
spellingShingle The Interpersonal Entrainment in Music Performance Data Collection
Clayton, Martin
Ethnomusicology
Music cognition
Computational musicology
Entrainment
Synchronization
Music performance
Open Science
FAIR principles
status_str publishedVersion
title The Interpersonal Entrainment in Music Performance Data Collection
title_full The Interpersonal Entrainment in Music Performance Data Collection
title_fullStr The Interpersonal Entrainment in Music Performance Data Collection
title_full_unstemmed The Interpersonal Entrainment in Music Performance Data Collection
title_short The Interpersonal Entrainment in Music Performance Data Collection
title_sort The Interpersonal Entrainment in Music Performance Data Collection
topic Ethnomusicology
Music cognition
Computational musicology
Entrainment
Synchronization
Music performance
Open Science
FAIR principles
url https://emusicology.org/issue/view/278
https://hdl.handle.net/20.500.12008/30458