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ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2020
License: CC BY
Data sources: ZENODO
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Tonality classicalDB Dataset

Authors: Emília Gómez;

Tonality classicalDB Dataset

Abstract

The Tonality classicalDB Dataset includes 880 classical musical pieces across different styles from s.XVII to s.XX annotated with single-key labels. Tonality classicalDB Dataset was created as part of: Gómez, E. (2006). PhD Thesis. Tonal description of music audio signals. Department of Information and Communication Technologies. This dataset is mainly intended to assess the performance of computational key estimation algorithms in classical music. 2020 note: The audios are privates. If you don't have the original audio collection, you could create it from your private collection because most of the recordings are well known. To this end, we provide musicbrainz metadata. Moreover, we have added the spectrum and HPCP chromagram of each audio. This dataset can be used with mirdata library: https://github.com/mir-dataset-loaders/mirdata Spectrum features have been computed as is shown here: https://github.com/mir-dataset-loaders/mirdata-notebooks/blob/master/Tonality_classicalDB/ClassicalDB_spectrum_features.ipynb HPCP chromagram has been computed as is shown here: https://github.com/mir-dataset-loaders/mirdata-notebooks/blob/master/Tonality_classicalDB/ClassicalDB_HPCP_features.ipynb Musicbrainz metadata has been computed as is shown here: https://github.com/mir-dataset-loaders/mirdata-notebooks/blob/master/Tonality_classicalDB/ClassicalDB_musicbrainz_metadata.ipynb

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selected citations
These citations are derived from selected sources.
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.
BIP!Impulse provided by BIP!
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