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Audio-aligned jazz harmony dataset for automatic chord transcription and corpus-based research

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dc.contributor.author Serra, Xavier
dc.date.accessioned 2019-03-01T11:02:32Z
dc.date.available 2019-03-01T11:02:32Z
dc.date.issued 2018
dc.identifier.citation Eremenko V, Demirel E, Bozkirt B, Serra X. Audio-aligned jazz harmony dataset for automatic chord transcription and corpus-based research. In: Gómez E, Hu X, Humphrey E, Benetos E. Proceedings of the 19th ISMIR Conference; 2018 Sep 23-27; Paris, France. [Canada]: ISMIR; 2018. p. 483-90.
dc.identifier.uri http://hdl.handle.net/10230/36716
dc.description Comunicació presentada a: 19th ISMIR Conference, celebrada a Paris, France, del 23 al 27 de setembre del 2018.
dc.description.abstract In this paper we present a new dataset of time-aligned jazz harmony transcriptions. This dataset is a useful resource for content-based analysis, especially for training and evaluating chord transcription algorithms. Most of the available chord transcription datasets only contain annotations for rock and pop, and the characteristics of jazz, such as the extensive use of seventh chords, are not represented. Our dataset consists of annotations of 113 tracks selected from “The Smithsonian Collection of Classic Jazz” and “Jazz: The Smithsonian Anthology,” covering a range of performers, subgenres, and historical periods. Annotations were made by a jazz musician and contain information about the meter, structure, and chords for entire audio tracks. We also present evaluation results of this dataset using stateof-the-art chord estimation algorithms that support seventh chords. The dataset is valuable for jazz scholars interested in corpus-based research. To demonstrate this, we extract statistics for symbolic data and chroma features from the audio tracks.
dc.description.sponsorship The authors would like to thank all the anonymous reviewers for their valuable comments, which greatly helped to improve the quality of this paper.
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher International Society for Music Information Retrieval (ISMIR)
dc.relation.ispartof In: Gómez E, Hu X, Humphrey E, Benetos E. Proceedings of the 19th ISMIR Conference; 2018 Sep 23-27; Paris, France. [Canada]: ISMIR; 2018. p. 483-90.
dc.rights © Vsevolod Eremenko, Emir Demirel, Baris Bozkurt, Xavier Serra. Licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0). Attribution: Vsevolod Eremenko, Emir Demirel, Baris Bozkurt, Xavier Serra. “ Audio-Aligned Jazz Harmony Dataset for Automatic Chord Transcription and Corpus-based Research”, 19th International Society for Music Information Retrieval Conference, Paris, France, 2018.
dc.rights.uri https://creativecommons.org/licenses/by/4.0/
dc.title Audio-aligned jazz harmony dataset for automatic chord transcription and corpus-based research
dc.type info:eu-repo/semantics/conferenceObject
dc.rights.accessRights info:eu-repo/semantics/openAccess
dc.type.version info:eu-repo/semantics/publishedVersion


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