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Analytical Techniques for the Identification of a Musical Score: The Musical DNA

In the information age, one of the main research field that is being developed is the one related to how to improve the quality of the search engine as regards knowing how to manage the information contained in a document in order to extract its content and interpret it. On the one hand due to the h...

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Autor principal: Della Ventura, Michele
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7302540/
http://dx.doi.org/10.1007/978-3-030-50426-7_3
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author Della Ventura, Michele
author_facet Della Ventura, Michele
author_sort Della Ventura, Michele
collection PubMed
description In the information age, one of the main research field that is being developed is the one related to how to improve the quality of the search engine as regards knowing how to manage the information contained in a document in order to extract its content and interpret it. On the one hand due to the heterogeneity of the information contained on the web (text, image, video, musical scores), and on the other hand to satisfy the user who generally searches for information of a very different type. This paper describes the development and evaluation of an analytical method for the analysis of musical score considered in its symbolic level. The developed method is based on the analysis of the fundamental elements of the musical grammar and takes into account the distance between the sounds (which characterize a melody) and their duration (which makes the melody active and alive). The method has been tested on a set of different musical scores, realizing an algorithm in order to identity a musical score in a database.
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spelling pubmed-73025402020-06-19 Analytical Techniques for the Identification of a Musical Score: The Musical DNA Della Ventura, Michele Computational Science – ICCS 2020 Article In the information age, one of the main research field that is being developed is the one related to how to improve the quality of the search engine as regards knowing how to manage the information contained in a document in order to extract its content and interpret it. On the one hand due to the heterogeneity of the information contained on the web (text, image, video, musical scores), and on the other hand to satisfy the user who generally searches for information of a very different type. This paper describes the development and evaluation of an analytical method for the analysis of musical score considered in its symbolic level. The developed method is based on the analysis of the fundamental elements of the musical grammar and takes into account the distance between the sounds (which characterize a melody) and their duration (which makes the melody active and alive). The method has been tested on a set of different musical scores, realizing an algorithm in order to identity a musical score in a database. 2020-05-25 /pmc/articles/PMC7302540/ http://dx.doi.org/10.1007/978-3-030-50426-7_3 Text en © Springer Nature Switzerland AG 2020 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Della Ventura, Michele
Analytical Techniques for the Identification of a Musical Score: The Musical DNA
title Analytical Techniques for the Identification of a Musical Score: The Musical DNA
title_full Analytical Techniques for the Identification of a Musical Score: The Musical DNA
title_fullStr Analytical Techniques for the Identification of a Musical Score: The Musical DNA
title_full_unstemmed Analytical Techniques for the Identification of a Musical Score: The Musical DNA
title_short Analytical Techniques for the Identification of a Musical Score: The Musical DNA
title_sort analytical techniques for the identification of a musical score: the musical dna
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7302540/
http://dx.doi.org/10.1007/978-3-030-50426-7_3
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