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PIANO PRECISION: ADVANCING MUSIC PERFORMANCE ANALYSIS BY INTEGRATING USER-CORRECTABLE AUDIO-TO-SCORE ALIGNMENT

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  • cris.virtual.department
    University of Music and Performing Arts Vienna
    University of Music and Performing Arts Vienna
  • cris.virtual.orcid
    0000-0003-1502-1528
    0000-0002-1722-0718
  • dc.contributor.author
    Jiang, Yucong
    Weigl, David
    Goebl, Werner
  • dc.date.accessioned
    2025-12-03T11:45:13Z
  • dc.date.available
    2025-12-03T11:45:13Z
  • dc.date.issued
    2025
  • dc.description.abstract
    Audio-to-score alignment is a core task in MIR, but its application to music performance analysis is underexplored and it has not been developed for prospective users. Moreover, there have been very few user studies to shed light on the software needs of performance researchers. To help fill this gap, we present an open-source software application with a graphical UI that integrates audio-to-score alignment, designed to facilitate performance analysis. Working with Vamp plugins, this tool can also serve as a suitable platform for developing and comparing new alignment algorithms. In addition, in this paper we offer a use-case example of this tool comparing multiple performances of the same piece. We have also evaluated this tool with 15 prospective real-world users and received highly positive responses. Our user study suggests that tools like this can help bridge disciplinary divides between MIR and performance research.
  • dc.description.provenance
    Submitted by repo admin (repo-admin@mdw.ac.at) on 2025-12-03T11:45:13Z workflow start=Step: checkcorrectionstep - action:noUserSelectionAction No. of bitstreams: 1 169_SMC25_proceedings_with_concerts.pdf: 1382063 bytes, checksum: accb12be038fcff8b23cb6fc85062194 (MD5)
    Made available in DSpace on 2025-12-03T11:45:13Z (GMT). No. of bitstreams: 1 169_SMC25_proceedings_with_concerts.pdf: 1382063 bytes, checksum: accb12be038fcff8b23cb6fc85062194 (MD5) Previous issue date: 2025
  • dc.identifier.citation
    JIANG, Y., WEIGL, D. M., & GOEBL, W. (2025). PIANO PRECISION: ADVANCING MUSIC PERFORMANCE ANALYSIS BY INTEGRATING USER-CORRECTABLE AUDIO-TO-SCORE ALIGNMENT. Proceedings of the 22nd Sound and Music Computing Conference (SMC2025), Graz, July 2025, 160–167. https://doi.org/10.5281/zenodo.15838699
  • dc.identifier.doi
    10.5281/zenodo.15838699
  • dc.language.iso
    en
  • dc.relation.isbn
    978-3-200-10642-0
  • dc.relation.publication
    Proceedings of the 22nd Sound and Music Computing Conference (SMC2025)
  • dc.rights.license
    CC-BY-4.0
  • dc.subject
    Sound
    Music
    Computing
  • dc.title
    PIANO PRECISION: ADVANCING MUSIC PERFORMANCE ANALYSIS BY INTEGRATING USER-CORRECTABLE AUDIO-TO-SCORE ALIGNMENT
  • dc.type
    text::conference output::conference proceedings::conference paper
  • dspace.entity.type
    Publication
  • dspace.workflow.startDateTime
    2025-12-03T11:45:13.379Z
  • mdwlis.publication.firstRelease
    false
  • mdwlis.publication.mdwAttribution
    yes
  • mdwlis.subject.oefosDeKunstzweig
    NATURWISSENSCHAFTEN - Informatik
    MUSIK - Pädagogik / Vermittlung
    SOZIALWISSENSCHAFTEN - Psychologie
  • mdwrepo.correspondingAuthor
  • mdwrepo.subject.percentage
    85
    10
    5
  • oaire.citation.endPage
    167
  • oaire.citation.startPage
    160
  • oairecerif.author.affiliation
    University of Richmond
    University of Music and Performing Arts Vienna
    University of Music and Performing Arts Vienna