Analysis of musical dynamics in vocal performances using loudness measures

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  • dc.contributor.author Narang, Jyoti
  • dc.contributor.author Miron, Marius
  • dc.contributor.author Srinivasamurthy, Ajay
  • dc.contributor.author Serra, Xavier
  • dc.date.accessioned 2022-09-23T06:20:39Z
  • dc.date.available 2022-09-23T06:20:39Z
  • dc.date.issued 2022
  • dc.description Comunicació presentada a: DAFx20in22, celebrat del 6 al 10 de setembre de 2022, a Viena, Austria.
  • dc.description.abstract In addition to tone, pitch and rhythm, dynamics is one of the expressive dimensions of the performance of a music piece that has received limited attention. While the usage of dynamics may vary from artist to artist, and also from performance to performance, a systematic methodology to automatically identify the dynamics of a performance in terms of musically meaningful terms like forte, piano may offer valuable feedback in the context of music education and in particular in singing. To this end, we have manually annotated the dynamic markings of commercial recordings of popular rock and pop songs from the Smule Vocal Balanced (SVB) dataset which will be used as reference data. Then as a first step for our research goal, we propose a method to derive and compare singing voice loudness curves in polyphonic mixtures. Towards measuring the similarity and variation of dynamics, we compare the dynamics curves of the SVB renditions with the one derived from the original songs. We perform the same comparison using professionally produced renditions from a karaoke website. We relate high values of Spearman correlation coefficient found in some select student renditions and the professional renditions with accurate dynamics.
  • dc.description.sponsorship Part of this research is funded by Project Musical AI - PID2019-111403GBI00/ AEI/10.13039/501100011033 funded by the Spanish Ministerio de Ciencia, Innovación y Universidades (MCIU) and the Agencia Estatal de Investigación (AEI).
  • dc.format.mimetype application/pdf
  • dc.identifier.citation Narang J, Miron M, Srinivasamurthy A, Serra X. Analysis of musical dynamics in vocal performances using loudness measures. In: Evangelista G, Holighaus, eds. Proceedings of the DAFx20's Vienna, Vol. 3 (DAFx20in22); 2022 Sep 6-10; Vienna, Austria. p. 33-9.
  • dc.identifier.uri http://hdl.handle.net/10230/54165
  • dc.language.iso eng
  • dc.publisher DAFx
  • dc.relation.ispartof Evangelista G, Holighaus, eds. Proceedings of the DAFx20's Vienna, Vol. 3 (DAFx20in22); 2022 Sep 6-10; Vienna, Austria. p. 33-9.
  • dc.relation.projectID info:eu-repo/grantAgreement/ES/2PE/PID2019-111
  • dc.rights © 2022 Jyoti Narang et al. This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, adaptation, and reproduction in any medium, provided the original author and source are credited.
  • dc.rights.accessRights info:eu-repo/semantics/openAccess
  • dc.rights.uri https://creativecommons.org/licenses/by/4.0/
  • dc.title Analysis of musical dynamics in vocal performances using loudness measures
  • dc.type info:eu-repo/semantics/conferenceObject
  • dc.type.version info:eu-repo/semantics/publishedVersion

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