Automatic Makam recognition using chroma features

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  • dc.contributor.author Demirel, Emir
  • dc.contributor.author Bozkurt, Baris
  • dc.contributor.author Serra, Xavier
  • dc.date.accessioned 2019-03-01T11:02:27Z
  • dc.date.available 2019-03-01T11:02:27Z
  • dc.date.issued 2018
  • dc.description Comunicació presentada a: 8th International Workshop on Folk Music Analysis, celebrada a Thessaloniki, Greece, del 26 al 29 de juny de 2018.
  • dc.description.abstract This work focuses on the automatic makam recognition task for Turkish Makam Music using chroma features. Chroma features are widely used for music identification and tonal recognition tasks such as key estimation or chord recognition. Most of prior work on makam recognition largely rely on use of pitch distributions. Due to the imperfection of automatic pitch extraction for non-monophonic audio, use of chroma features is an alternative that has been showed to be effective in a previous study and we follow the same approach. Our work does not propose a new architecture but rather considers parameter optimization of chroma based recognition for makams. In our tests we use an open-content dataset and perform comparisons with previous studies. As a result of parameter optimization a better performance is achieved. All resources are shared for ensuring reproducibility of the presented results.
  • dc.format.mimetype application/pdf
  • dc.identifier.citation Demirel E, Bozkurt B, Serra X. Automatic Makam recognition using chroma features. In: Holzapfel A, Pikrakis A, editors. Proceedings of the 8th International Workshop on Folk Music Analysis; 2018 Jun 26-29; Thessaloniki, Greece. Greece: Aristotle University of Thessaloniki; 2018. p. 19-24.
  • dc.identifier.uri http://hdl.handle.net/10230/36715
  • dc.language.iso eng
  • dc.publisher Aristotle University of Thessaloniki
  • dc.relation.ispartof In: Holzapfel A, Pikrakis A, editors. Proceedings of the 8th International Workshop on Folk Music Analysis; 2018 Jun 26-29; Thessaloniki, Greece. Greece: Aristotle University of Thessaloniki; 2018. p. 19-24.
  • dc.rights © Folk Music Analysis
  • dc.rights.accessRights info:eu-repo/semantics/openAccess
  • dc.rights.uri https://creativecommons.org/licenses/by/4.0/
  • dc.title Automatic Makam recognition using chroma features
  • dc.type info:eu-repo/semantics/conferenceObject
  • dc.type.version info:eu-repo/semantics/publishedVersion

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