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ZENODO
Doctoral thesis . 2008
License: CC BY
Data sources: ZENODO
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
Thesis . 2008
License: CC BY
Data sources: Datacite
ZENODO
Thesis . 2008
License: CC BY
Data sources: Datacite
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Expressive characterization of flamenco singing

Authors: Merchán, Francisca;

Expressive characterization of flamenco singing

Abstract

Expressive characterization of flamenco singing intends to analyze the main differences between performances, players, playing styles and emotional intentions. This work addresses the characterization of expressive flamenco singing performances in two stages: first, a qualitative approach interviewing flamenco experts to get hints of what are the main particular aspects of flamenco singing and then, a second approach comparing audio recordings of the same melodies sung in both flamenco style and in their original styles (classic, Cuban folk and jazz) by a professional singer. This research intends to provide a characterization of flamenco singing based on acoustic analysis of audio recordings and feature extraction such as energy, pitch, flatness, hfc, spectral roll-off, etc.

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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).
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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.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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