The Interpersonal Entrainment in Music Performance Data Collection
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.
2021 | |
Ethnomusicology Music cognition Computational musicology Entrainment Synchronization Music performance Open Science FAIR principles |
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Inglés | |
Universidad de la República | |
COLIBRI | |
https://emusicology.org/issue/view/278
https://hdl.handle.net/20.500.12008/30458 |
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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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collection | COLIBRI |
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. |
dc.format.extent.es.fl_str_mv | 20 p. |
dc.format.mimetype.es.fl_str_mv | application/pdf |
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 |
format | article |
id | COLIBRI_b5029442e98fbedf01e505b8839f042e |
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 |
instacron_str | Universidad de la República |
institution | Universidad de la República |
instname_str | Universidad de la República |
language | eng |
language_invalid_str_mv | en |
network_acronym_str | COLIBRI |
network_name_str | COLIBRI |
oai_identifier_str | oai:colibri.udelar.edu.uy:20.500.12008/30458 |
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 |
repository_id_str | 4771 |
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. Nº 16 de C.D.C. de 07/10/2014)info:eu-repo/semantics/openAccessLicencia Creative Commons Atribución - No Comercial (CC - By-NC 4.0)EthnomusicologyMusic cognitionComputational musicologyEntrainmentSynchronizationMusic performanceOpen ScienceFAIR principlesThe Interpersonal Entrainment in Music Performance Data CollectionArtículoinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionreponame:COLIBRIinstname:Universidad de la Repúblicainstacron:Universidad de la RepúblicaClayton, MartinTarsitani, SimoneJankowsky, RichardJure, LuisLeante, LauraPolak, RainerPoole, AdrianRocamora, MartínAlborno, PaoloCamurri, AntonioEerola, TuomasJacoby, NoriJakubowski, KellyProcesamiento de SeñalesProcesamiento de AudioLICENSElicense.txtlicense.txttext/plain; charset=utf-84267http://localhost:8080/xmlui/bitstream/20.500.12008/30458/5/license.txt6429389a7df7277b72b7924fdc7d47a9MD55CC-LICENSElicense_urllicense_urltext/plain; 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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 |