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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao ZENODOarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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Dataset . 2018
Data sources: Datacite
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
ZENODO
Dataset . 2018
Data sources: ZENODO
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
ZENODO
Dataset . 2018
Data sources: Datacite
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Enhanced Wikifonia Leadsheet Dataset

Authors: Simonetta, Federico;

Enhanced Wikifonia Leadsheet Dataset

Abstract

EWLD (Enhanced Wikifonia Leadsheet Dataset) is a music lead sheet dataset with more than 5.000 scores that comes with a lot of metadata about composers, works, lyrics, and features. It is designed for musicological and research purposes. A Public Domain version, named OpenEWLD, is available at https://github.com/00sapo/OpenEWLD. You can find an in-deep discussion in my Master Thesis. Request access through Zenodo (click on the "request access" button below) and provide the following information: Name and Surname(s) Institution Role in the institution The sentence "The data will never be used for commercial and/or profit purposes by me or other people I will give the data to." One line to explain the research project --- Please, use the following paper as reference: Simonetta, Federico, Carnovalini, Filippo, Orio, Nicola, & Rodà, Antonio. (2018). Symbolic Music Similarity Through a Graph-Based Representation. In Proceedings of the Audio Mostly 2018 on Sound in Immersion and Emotion (pp. 26:1–26:7). New York, NY, USA: ACM. http://doi.org/10.1145/3243274.3243301 --- For further info, see my MS Thesis: F. Simonetta, “Graph based representation of the music symbolic level. A music information retrieval application”, Università di Padova, 2018. Zenodo link: https://zenodo.org/record/1476564

{"references": ["Simonetta, Federico, Carnovalini, Filippo, Orio, Nicola, & Rod\u00e0, Antonio. (2018). Symbolic Music Similarity Through a Graph-Based Representation. In Proceedings of the Audio Mostly 2018 on Sound in Immersion and Emotion (pp. 26:1\u201326:7). New York, NY, USA: ACM. http://doi.org/10.1145/3243274.3243301"]}

Related Organizations
Keywords

leadsheet, music information retrieval, mir, graph representation, music symbolic level

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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