ChordSync : Conformer-based alignment of chord annotations to music audio.

Poltronieri, Andrea - Presutti, Valentina - Rocamora, Martín

Resumen:

In the Western music tradition, chords are the main constituent components of harmony, a fundamental dimension of music. Despite its relevance for several Music Information Retrieval (MIR) tasks, chord-annotated audio datasets are limited and need more diversity. One way to improve those resources is to leverage the large number of chord annotations available online, but this requires aligning them with music audio. However, existing audio-to-score alignment techniques, which typically rely on Dynamic Time Warping (DTW), fail to address this challenge, as they require weakly aligned data for precise synchronisation. In this paper, we introduce ChordSync, a novel conformer-based model designed to seamlessly align chord annotations with audio, eliminating the need for weak alignment. We also provide a pre-trained model and a user-friendly library, enabling users to synchronise chord annotations with audio tracks effortlessly. In this way, ChordSync creates opportunities for harnessing crowd-sourced chord data for MIR, especially in audio chord estimation, thereby facilitating the generation of novel datasets. Additionally, our system extends its utility to music education, enhancing music learning experiences by providing accurately aligned annotations, thus enabling learners to engage in synchronised musical practices.

Detalles Bibliográficos
2024
Este proyecto ha recibido financiación del programa de investigación e innovación Horizonte 2020 de la Unión Europea en virtud del acuerdo de subvención no 101004746
MUSICA
ARMONIA
Inglés
Universidad de la República
COLIBRI
https://smcnetwork.org/smc2024/
https://hdl.handle.net/20.500.12008/45432
Acceso abierto
Licencia Creative Commons Atribución (CC - By 4.0)
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author Poltronieri, Andrea
author2 Presutti, Valentina
Rocamora, Martín
author2_role author
author
author_facet Poltronieri, Andrea
Presutti, Valentina
Rocamora, Martín
author_role author
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dc.contributor.filiacion.none.fl_str_mv Poltronieri Andrea, University of Bologna
Presutti Valentina, University of Bologna
Rocamora Martín, Universidad de la República (Uruguay). Facultad de Ingeniería.
dc.creator.none.fl_str_mv Poltronieri, Andrea
Presutti, Valentina
Rocamora, Martín
dc.date.accessioned.none.fl_str_mv 2024-08-20T17:03:47Z
dc.date.available.none.fl_str_mv 2024-08-20T17:03:47Z
dc.date.issued.none.fl_str_mv 2024
dc.description.abstract.none.fl_txt_mv In the Western music tradition, chords are the main constituent components of harmony, a fundamental dimension of music. Despite its relevance for several Music Information Retrieval (MIR) tasks, chord-annotated audio datasets are limited and need more diversity. One way to improve those resources is to leverage the large number of chord annotations available online, but this requires aligning them with music audio. However, existing audio-to-score alignment techniques, which typically rely on Dynamic Time Warping (DTW), fail to address this challenge, as they require weakly aligned data for precise synchronisation. In this paper, we introduce ChordSync, a novel conformer-based model designed to seamlessly align chord annotations with audio, eliminating the need for weak alignment. We also provide a pre-trained model and a user-friendly library, enabling users to synchronise chord annotations with audio tracks effortlessly. In this way, ChordSync creates opportunities for harnessing crowd-sourced chord data for MIR, especially in audio chord estimation, thereby facilitating the generation of novel datasets. Additionally, our system extends its utility to music education, enhancing music learning experiences by providing accurately aligned annotations, thus enabling learners to engage in synchronised musical practices.
dc.description.sponsorship.none.fl_txt_mv Este proyecto ha recibido financiación del programa de investigación e innovación Horizonte 2020 de la Unión Europea en virtud del acuerdo de subvención no 101004746
dc.format.extent.es.fl_str_mv 8 p.
dc.format.mimetype.es.fl_str_mv application/pdf
dc.identifier.citation.es.fl_str_mv Poltronieri, A., Presutti, V. y Rocamora, M. ChordSync : Conformer-based alignment of chord annotations to music audio [en línea]. EN: Sound and Music Computing Conference 2024 (SMC 2024), Porto, Portugal, 4-6 jul. 2024, pp. 1-8.
dc.identifier.uri.none.fl_str_mv https://smcnetwork.org/smc2024/
https://hdl.handle.net/20.500.12008/45432
dc.language.iso.none.fl_str_mv en
eng
dc.publisher.es.fl_str_mv SMC
dc.relation.none.fl_str_mv Sound and Music Computing Conference 2024 (SMC 2024), Porto, Portugal, 4-6 jul. 2024, pp. 1-8.
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.other.es.fl_str_mv MUSICA
ARMONIA
dc.title.none.fl_str_mv ChordSync : Conformer-based alignment of chord annotations to music audio.
dc.type.es.fl_str_mv Ponencia
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
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description In the Western music tradition, chords are the main constituent components of harmony, a fundamental dimension of music. Despite its relevance for several Music Information Retrieval (MIR) tasks, chord-annotated audio datasets are limited and need more diversity. One way to improve those resources is to leverage the large number of chord annotations available online, but this requires aligning them with music audio. However, existing audio-to-score alignment techniques, which typically rely on Dynamic Time Warping (DTW), fail to address this challenge, as they require weakly aligned data for precise synchronisation. In this paper, we introduce ChordSync, a novel conformer-based model designed to seamlessly align chord annotations with audio, eliminating the need for weak alignment. We also provide a pre-trained model and a user-friendly library, enabling users to synchronise chord annotations with audio tracks effortlessly. In this way, ChordSync creates opportunities for harnessing crowd-sourced chord data for MIR, especially in audio chord estimation, thereby facilitating the generation of novel datasets. Additionally, our system extends its utility to music education, enhancing music learning experiences by providing accurately aligned annotations, thus enabling learners to engage in synchronised musical practices.
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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 Poltronieri Andrea, University of BolognaPresutti Valentina, University of BolognaRocamora Martín, Universidad de la República (Uruguay). Facultad de Ingeniería.2024-08-20T17:03:47Z2024-08-20T17:03:47Z2024Poltronieri, A., Presutti, V. y Rocamora, M. ChordSync : Conformer-based alignment of chord annotations to music audio [en línea]. EN: Sound and Music Computing Conference 2024 (SMC 2024), Porto, Portugal, 4-6 jul. 2024, pp. 1-8.https://smcnetwork.org/smc2024/https://hdl.handle.net/20.500.12008/45432In the Western music tradition, chords are the main constituent components of harmony, a fundamental dimension of music. Despite its relevance for several Music Information Retrieval (MIR) tasks, chord-annotated audio datasets are limited and need more diversity. One way to improve those resources is to leverage the large number of chord annotations available online, but this requires aligning them with music audio. However, existing audio-to-score alignment techniques, which typically rely on Dynamic Time Warping (DTW), fail to address this challenge, as they require weakly aligned data for precise synchronisation. In this paper, we introduce ChordSync, a novel conformer-based model designed to seamlessly align chord annotations with audio, eliminating the need for weak alignment. We also provide a pre-trained model and a user-friendly library, enabling users to synchronise chord annotations with audio tracks effortlessly. In this way, ChordSync creates opportunities for harnessing crowd-sourced chord data for MIR, especially in audio chord estimation, thereby facilitating the generation of novel datasets. Additionally, our system extends its utility to music education, enhancing music learning experiences by providing accurately aligned annotations, thus enabling learners to engage in synchronised musical practices.Submitted by Ribeiro Jorge (jribeiro@fing.edu.uy) on 2024-08-12T19:35:55Z No. of bitstreams: 2 license_rdf: 24251 bytes, checksum: 71ed42ef0a0b648670f707320be37b90 (MD5) PPR24.pdf: 1288050 bytes, checksum: ab7ca0c08d39a70f6649b8094994cdb3 (MD5)Approved for entry into archive by Machado Jimena (jmachado@fing.edu.uy) on 2024-08-20T15:44:13Z (GMT) No. of bitstreams: 2 license_rdf: 24251 bytes, checksum: 71ed42ef0a0b648670f707320be37b90 (MD5) PPR24.pdf: 1288050 bytes, checksum: ab7ca0c08d39a70f6649b8094994cdb3 (MD5)Made available in DSpace by Luna Fabiana (fabiana.luna@seciu.edu.uy) on 2024-08-20T17:03:47Z (GMT). No. of bitstreams: 2 license_rdf: 24251 bytes, checksum: 71ed42ef0a0b648670f707320be37b90 (MD5) PPR24.pdf: 1288050 bytes, checksum: ab7ca0c08d39a70f6649b8094994cdb3 (MD5) Previous issue date: 2024Este proyecto ha recibido financiación del programa de investigación e innovación Horizonte 2020 de la Unión Europea en virtud del acuerdo de subvención no 1010047468 p.application/pdfenengSMCSound and Music Computing Conference 2024 (SMC 2024), Porto, Portugal, 4-6 jul. 2024, pp. 1-8.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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públicahttps://udelar.edu.uy/https://www.colibri.udelar.edu.uy/oai/requestkarina.camps@seciu.edu.uyUruguayopendoar:47712024-08-20T17:03:47COLIBRI - Universidad de la Repúblicafalse
spellingShingle ChordSync : Conformer-based alignment of chord annotations to music audio.
Poltronieri, Andrea
MUSICA
ARMONIA
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title ChordSync : Conformer-based alignment of chord annotations to music audio.
title_full ChordSync : Conformer-based alignment of chord annotations to music audio.
title_fullStr ChordSync : Conformer-based alignment of chord annotations to music audio.
title_full_unstemmed ChordSync : Conformer-based alignment of chord annotations to music audio.
title_short ChordSync : Conformer-based alignment of chord annotations to music audio.
title_sort ChordSync : Conformer-based alignment of chord annotations to music audio.
topic MUSICA
ARMONIA
url https://smcnetwork.org/smc2024/
https://hdl.handle.net/20.500.12008/45432