Saraga Audiovisual : A large multimodal open data collection for the analysis of Carnatic Music.
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.
| 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. | |
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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 |
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| Inglés | |
| Universidad de la República | |
| COLIBRI | |
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https://ismir2024.ismir.net/
https://hdl.handle.net/20.500.12008/47319 |
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| Acceso abierto | |
| Licencia Creative Commons Atribución (CC - By 4.0) |
| _version_ | 1877555081818144768 |
|---|---|
| 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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| collection | COLIBRI |
| 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 |
| format | conferenceObject |
| id | COLIBRI_5b53b7638cd447fc0f13fd79f74ff9b5 |
| 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. Nº 16 de C.D.C. de 07/10/2014)info:eu-repo/semantics/openAccessLicencia Creative Commons Atribución (CC - By 4.0)ApplicationsMusic videosMultimodal music systemsEvaluation, datasets, and reproducibilityNovel datasets and use casesKnowledge-driven approaches to MIRComputational ethnomusicologyMIR tasksPattern matching and detectionSound source separationComputational musicologySaraga Audiovisual : A large multimodal open data collection for the analysis of Carnatic Music.Ponenciainfo:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionreponame:COLIBRIinstname:Universidad de la Repúblicainstacron:Universidad de la RepúblicaShankar, AdithiPlaja-Roglans, GenísNuttall, ThomasRocamora, MartínSerra, XavierProcesamiento de SeñalesProcesamiento de Audio (GPA)LICENSElicense.txtlicense.txttext/plain; charset=utf-84267http://localhost:8080/xmlui/bitstream/20.500.12008/47319/5/license.txt6429389a7df7277b72b7924fdc7d47a9MD55CC-LICENSElicense_urllicense_urltext/plain; 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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 |