kth.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Humanities and engineering perspectives on music transcription
KTH, School of Electrical Engineering and Computer Science (EECS), Human Centered Technology, Media Technology and Interaction Design, MID. (Creative Media Technology)ORCID iD: 0000-0003-1679-6018
School of Electronic Engineering and Computer Science, Queen Mary University of London, London, UK.ORCID iD: 0000-0002-6820-6764
Department of Music, University of Sheffield, Sheffield, UK.
Department of Music, SOAS University of London, UK.
2021 (English)In: Digital Scholarship in the Humanities, ISSN 2055-7671, E-ISSN 2055-768XArticle in journal (Refereed) Published
Abstract [en]

Music transcription is a process of creating a notation of musical sounds. It has been used as a basis for the analysis of music from a wide variety of cultures. Recent decades have seen an increasing amount of engineering research within the field of Music Information Retrieval that aims at automatically obtaining music transcriptions in Western staff notation. However, such approaches are not widely applied in research in ethnomusicology. This article aims to bridge interdisciplinary gaps by identifying aspects of proximity and divergence between the two fields. As part of our study, we collected manual transcriptions of traditional dance tune recordings by eighteen transcribers. Our method employs a combination of expert and computational evaluation of these transcriptions. This enables us to investigate the limitations of automatic music transcription (AMT) methods and computational transcription metrics that have been proposed for their evaluation. Based on these findings, we discuss promising avenues to make AMT more useful for studies in the Humanities. These are, first, assessing the quality of a transcription based on an analytic purpose; secondly, developing AMT approaches that are able to learn conventions concerning the transcription of a specific style; thirdly, a focus on novice transcribers as users of AMT systems; and, finally, considering target notation systems different from Western staff notation.

Place, publisher, year, edition, pages
Oxford University Press (OUP) , 2021.
Keywords [en]
Computer Science Applications, Linguistics and Language, Language and Linguistics, Information Systems
National Category
Musicology Media Engineering
Identifiers
URN: urn:nbn:se:kth:diva-304273DOI: 10.1093/llc/fqab074ISI: 000764004800001Scopus ID: 2-s2.0-85141241877OAI: oai:DiVA.org:kth-304273DiVA, id: diva2:1607223
Funder
Swedish Research Council, 2019-03694Marcus Wallenbergs Foundation for International Scientific Collaboration, 2020.0102
Note

QC 20211117

Available from: 2021-10-30 Created: 2021-10-30 Last updated: 2023-06-08Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records

Holzapfel, Andre

Search in DiVA

By author/editor
Holzapfel, AndreBenetos, Emmanouil
By organisation
Media Technology and Interaction Design, MID
In the same journal
Digital Scholarship in the Humanities
MusicologyMedia Engineering

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 98 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf