Saraga Audiovisual : A large multimodal open data collection for the analysis of Carnatic Music.

Shankar, Adithi - Plaja-Roglans, Genís - Nuttall, Thomas - Rocamora, Martín - Serra, Xavier

Resumen:

Carnatic music is a style of South Indian art music whose analysis using computational methods is an active area of research in Music Information Research (MIR). A core, open dataset for such analysis is the Saraga dataset, which includes multi-stem audio, expert annotations, and accompanying metadata. However, it has been noted that there are several limitations to the Saraga collections, and that additional relevant aspects of the tradition still need to be covered to facilitate musicologically important research lines. In this work, we present Saraga Audiovisual, a dataset that includes new and more diverse renditions of Carnatic vocal performances, totalling 42 concerts and more than 60 hours of music. A major contribution of this dataset is the inclusion of video recordings for all concerts, allowing for a wide range of multimodal analyses. We also provide high-quality human pose estimation data of the musicians extracted from the video footage, and perform benchmarking experiments for the different modalities to validate the utility of the novel collection. Saraga Audiovisual, along with access tools and results of our experiments, is made available for research purposes.

Detalles Bibliográficos
2024
Este trabajo fue realizado bajo el marco de "IA y Música: Cátedra en Inteligencia Artificial y Música (TSI-100929-2023-1)", financiado por la Secretaría de Estado de Digitalización e Inteligencia Artificial y la European Union-Next Generation EU, en el marco del programa Cátedras ENIA 2022 para la creación de cátedras universidad-empresa en IA.
Applications
Music videos
Multimodal music systems
Evaluation, datasets, and reproducibility
Novel datasets and use cases
Knowledge-driven approaches to MIR
Computational ethnomusicology
MIR tasks
Pattern matching and detection
Sound source separation
Computational musicology
Inglés
Universidad de la República
COLIBRI
https://ismir2024.ismir.net/
https://hdl.handle.net/20.500.12008/47319
Acceso abierto
Licencia Creative Commons Atribución (CC - By 4.0)
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author Shankar, Adithi
author2 Plaja-Roglans, Genís
Nuttall, Thomas
Rocamora, Martín
Serra, Xavier
author2_role author
author
author
author
author_facet Shankar, Adithi
Plaja-Roglans, Genís
Nuttall, Thomas
Rocamora, Martín
Serra, Xavier
author_role author
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dc.contributor.filiacion.none.fl_str_mv Shankar Adithi, Universitat Pompeu Fabra
Plaja-Roglans Genís, Universitat Pompeu Fabra
Nuttall Thomas, Universitat Pompeu Fabra
Rocamora Martín, Universidad de la República (Uruguay). Facultad de Ingeniería.
Serra Xavier, Universitat Pompeu Fabra
dc.coverage.spatial.es.fl_str_mv Asia, Sur de la India
dc.creator.none.fl_str_mv Shankar, Adithi
Plaja-Roglans, Genís
Nuttall, Thomas
Rocamora, Martín
Serra, Xavier
dc.date.accessioned.none.fl_str_mv 2024-12-02T17:28:34Z
dc.date.available.none.fl_str_mv 2024-12-02T17:28:34Z
dc.date.issued.none.fl_str_mv 2024
dc.description.abstract.none.fl_txt_mv Carnatic music is a style of South Indian art music whose analysis using computational methods is an active area of research in Music Information Research (MIR). A core, open dataset for such analysis is the Saraga dataset, which includes multi-stem audio, expert annotations, and accompanying metadata. However, it has been noted that there are several limitations to the Saraga collections, and that additional relevant aspects of the tradition still need to be covered to facilitate musicologically important research lines. In this work, we present Saraga Audiovisual, a dataset that includes new and more diverse renditions of Carnatic vocal performances, totalling 42 concerts and more than 60 hours of music. A major contribution of this dataset is the inclusion of video recordings for all concerts, allowing for a wide range of multimodal analyses. We also provide high-quality human pose estimation data of the musicians extracted from the video footage, and perform benchmarking experiments for the different modalities to validate the utility of the novel collection. Saraga Audiovisual, along with access tools and results of our experiments, is made available for research purposes.
dc.description.sponsorship.none.fl_txt_mv Este trabajo fue realizado bajo el marco de "IA y Música: Cátedra en Inteligencia Artificial y Música (TSI-100929-2023-1)", financiado por la Secretaría de Estado de Digitalización e Inteligencia Artificial y la European Union-Next Generation EU, en el marco del programa Cátedras ENIA 2022 para la creación de cátedras universidad-empresa en IA.
dc.format.extent.es.fl_str_mv 9 p.
dc.format.mimetype.es.fl_str_mv application/pdf
dc.identifier.citation.es.fl_str_mv Shankar, A., Plaja-Roglans, G., Nuttall, T. y otros. Saraga Audiovisual : A large multimodal open data collection for the analysis of Carnatic Music [en línea]. EN: 25th International Society for Music Information Retrieval (ISMIR), San Francisco, California, United States, 10-14 nov. 2024, pp. 1-9.
dc.identifier.uri.none.fl_str_mv https://ismir2024.ismir.net/
https://hdl.handle.net/20.500.12008/47319
dc.language.iso.none.fl_str_mv en
eng
dc.publisher.es.fl_str_mv ISMIR
dc.relation.none.fl_str_mv 25th International Society for Music Information Retrieval (ISMIR), San Francisco, California, United States, 10-14 nov. 2024, pp. 1-9.
dc.rights.license.none.fl_str_mv Licencia Creative Commons Atribución (CC - By 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 Applications
Music videos
Multimodal music systems
Evaluation, datasets, and reproducibility
Novel datasets and use cases
Knowledge-driven approaches to MIR
Computational ethnomusicology
MIR tasks
Pattern matching and detection
Sound source separation
Computational musicology
dc.title.none.fl_str_mv Saraga Audiovisual : A large multimodal open data collection for the analysis of Carnatic Music.
dc.type.es.fl_str_mv Ponencia
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
dc.type.version.none.fl_str_mv info:eu-repo/semantics/publishedVersion
description Carnatic music is a style of South Indian art music whose analysis using computational methods is an active area of research in Music Information Research (MIR). A core, open dataset for such analysis is the Saraga dataset, which includes multi-stem audio, expert annotations, and accompanying metadata. However, it has been noted that there are several limitations to the Saraga collections, and that additional relevant aspects of the tradition still need to be covered to facilitate musicologically important research lines. In this work, we present Saraga Audiovisual, a dataset that includes new and more diverse renditions of Carnatic vocal performances, totalling 42 concerts and more than 60 hours of music. A major contribution of this dataset is the inclusion of video recordings for all concerts, allowing for a wide range of multimodal analyses. We also provide high-quality human pose estimation data of the musicians extracted from the video footage, and perform benchmarking experiments for the different modalities to validate the utility of the novel collection. Saraga Audiovisual, along with access tools and results of our experiments, is made available for research purposes.
eu_rights_str_mv openAccess
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identifier_str_mv Shankar, A., Plaja-Roglans, G., Nuttall, T. y otros. Saraga Audiovisual : A large multimodal open data collection for the analysis of Carnatic Music [en línea]. EN: 25th International Society for Music Information Retrieval (ISMIR), San Francisco, California, United States, 10-14 nov. 2024, pp. 1-9.
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:20.500.12008/47319
publishDate 2024
reponame_str COLIBRI
repository.mail.fl_str_mv karina.camps@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 (CC - By 4.0)
spelling Shankar Adithi, Universitat Pompeu FabraPlaja-Roglans Genís, Universitat Pompeu FabraNuttall Thomas, Universitat Pompeu FabraRocamora Martín, Universidad de la República (Uruguay). Facultad de Ingeniería.Serra Xavier, Universitat Pompeu FabraAsia, Sur de la India2024-12-02T17:28:34Z2024-12-02T17:28:34Z2024Shankar, A., Plaja-Roglans, G., Nuttall, T. y otros. Saraga Audiovisual : A large multimodal open data collection for the analysis of Carnatic Music [en línea]. EN: 25th International Society for Music Information Retrieval (ISMIR), San Francisco, California, United States, 10-14 nov. 2024, pp. 1-9.https://ismir2024.ismir.net/https://hdl.handle.net/20.500.12008/47319Carnatic music is a style of South Indian art music whose analysis using computational methods is an active area of research in Music Information Research (MIR). A core, open dataset for such analysis is the Saraga dataset, which includes multi-stem audio, expert annotations, and accompanying metadata. However, it has been noted that there are several limitations to the Saraga collections, and that additional relevant aspects of the tradition still need to be covered to facilitate musicologically important research lines. In this work, we present Saraga Audiovisual, a dataset that includes new and more diverse renditions of Carnatic vocal performances, totalling 42 concerts and more than 60 hours of music. A major contribution of this dataset is the inclusion of video recordings for all concerts, allowing for a wide range of multimodal analyses. We also provide high-quality human pose estimation data of the musicians extracted from the video footage, and perform benchmarking experiments for the different modalities to validate the utility of the novel collection. Saraga Audiovisual, along with access tools and results of our experiments, is made available for research purposes.Submitted by Ribeiro Jorge (jribeiro@fing.edu.uy) on 2024-11-28T21:39:01Z No. of bitstreams: 2 license_rdf: 24251 bytes, checksum: 71ed42ef0a0b648670f707320be37b90 (MD5) SPNRS24.pdf: 6573131 bytes, checksum: b41399755cf766f0db5674f41405a7d9 (MD5)Approved for entry into archive by Machado Jimena (jmachado@fing.edu.uy) on 2024-12-02T15:43:22Z (GMT) No. of bitstreams: 2 license_rdf: 24251 bytes, checksum: 71ed42ef0a0b648670f707320be37b90 (MD5) SPNRS24.pdf: 6573131 bytes, checksum: b41399755cf766f0db5674f41405a7d9 (MD5)Made available in DSpace by Luna Fabiana (fabiana.luna@seciu.edu.uy) on 2024-12-02T17:28:34Z (GMT). No. of bitstreams: 2 license_rdf: 24251 bytes, checksum: 71ed42ef0a0b648670f707320be37b90 (MD5) SPNRS24.pdf: 6573131 bytes, checksum: b41399755cf766f0db5674f41405a7d9 (MD5) Previous issue date: 2024Este trabajo fue realizado bajo el marco de "IA y Música: Cátedra en Inteligencia Artificial y Música (TSI-100929-2023-1)", financiado por la Secretaría de Estado de Digitalización e Inteligencia Artificial y la European Union-Next Generation EU, en el marco del programa Cátedras ENIA 2022 para la creación de cátedras universidad-empresa en IA.9 p.application/pdfenengISMIR25th International Society for Music Information Retrieval (ISMIR), San Francisco, California, United States, 10-14 nov. 2024, pp. 1-9.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 Saraga Audiovisual : A large multimodal open data collection for the analysis of Carnatic Music.
Shankar, Adithi
Applications
Music videos
Multimodal music systems
Evaluation, datasets, and reproducibility
Novel datasets and use cases
Knowledge-driven approaches to MIR
Computational ethnomusicology
MIR tasks
Pattern matching and detection
Sound source separation
Computational musicology
status_str publishedVersion
title Saraga Audiovisual : A large multimodal open data collection for the analysis of Carnatic Music.
title_full Saraga Audiovisual : A large multimodal open data collection for the analysis of Carnatic Music.
title_fullStr Saraga Audiovisual : A large multimodal open data collection for the analysis of Carnatic Music.
title_full_unstemmed Saraga Audiovisual : A large multimodal open data collection for the analysis of Carnatic Music.
title_short Saraga Audiovisual : A large multimodal open data collection for the analysis of Carnatic Music.
title_sort Saraga Audiovisual : A large multimodal open data collection for the analysis of Carnatic Music.
topic Applications
Music videos
Multimodal music systems
Evaluation, datasets, and reproducibility
Novel datasets and use cases
Knowledge-driven approaches to MIR
Computational ethnomusicology
MIR tasks
Pattern matching and detection
Sound source separation
Computational musicology
url https://ismir2024.ismir.net/
https://hdl.handle.net/20.500.12008/47319