Automatic music transcription and ethnomusicology: a user study
| dc.contributor.author | Holzapfel, A | en_US |
| dc.contributor.author | Benetos, E | en_US |
| dc.contributor.author | 20th conference of the International Society for Music Information Retrieval (ISMIR) | en_US |
| dc.date.accessioned | 2019-08-16T13:40:15Z | |
| dc.date.available | 2019-06-07 | en_US |
| dc.date.issued | 2019-11-04 | en_US |
| dc.identifier.uri | https://qmro.qmul.ac.uk/xmlui/handle/123456789/59182 | |
| dc.description.abstract | Converting an acoustic music signal into music notation using a computer program has been at the forefront of music information research for several decades, as a task referred to as automatic music transcription (AMT). However, current AMT research is still constrained to system development followed by quantitative evaluations; it is still unclear whether the performance of AMT methods is considered sufficient to be used in the everyday practice of music scholars. In this paper, we propose and carry out a user study on evaluating the usefulness of automatic music transcription in the context of ethnomusicology. As part of the study, we recruited 16 participants who were asked to transcribe short musical excerpts either from scratch or using the output of an AMT system as a basis. We collect and analyze quantitative measures such as transcription time and effort, and a range of qualitative feedback from study participants, which includes user needs, criticisms of AMT technologies, and links between perceptual and quantitative evaluations on AMT outputs. The results show no quantitative advantage of using AMT, but important indications regarding appropriate user groups and evaluation measures are provided. | en_US |
| dc.format.extent | 678 - 684 | en_US |
| dc.rights | This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. | |
| dc.rights | Attribution 3.0 United States | * |
| dc.rights.uri | http://creativecommons.org/licenses/by/3.0/us/ | * |
| dc.title | Automatic music transcription and ethnomusicology: a user study | en_US |
| dc.type | Conference Proceeding | |
| dc.rights.holder | © The Author(s) 2019 | |
| pubs.notes | Not known | en_US |
| pubs.publication-status | Accepted | en_US |
| pubs.publisher-url | https://ismir2019.ewi.tudelft.nl/ | en_US |
| dcterms.dateAccepted | 2019-06-07 | en_US |
| rioxxterms.funder | Default funder | en_US |
| rioxxterms.identifier.project | Default project | en_US |
| qmul.funder | A Machine Learning Framework for Audio Analysis and Retrieval::Royal Academy of Engineering | en_US |
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Except where otherwise noted, this item's license is described as This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
