Music Petri nets are a mathematical formalism suitable to express the results of musicological analysis. Being able to infer the structure of a music piece and to represent it through Petri nets is not a trivial task, even for an expert of musicology who is skilled in computational thinking. From this point of view, a computer-based tool can be useful both in the learning phase and in the a-posteriori assessment of the achieved results. After providing the theoretical bases about Petri nets, this paper will describe a web application for music education and dissemination, able to integrate and synchronize the results of music analysis with music-related media content within a single on-line framework.
A Web-based Petri Nets Application To Teach Music Analysis and Composition / A. Barate' - In: eLmL 2017 : The Ninth International Conference on Mobile, Hybrid, and On-line Learning / [a cura di] L.A. Ludovico, A.M.F. Yousef. - [s.l] : IARIA XPS Press, 2017 Mar. - ISBN 9781612085418. - pp. 78-83 (( Intervento presentato al 9. convegno International Conference on Mobile, Hybrid, and On-line Learning tenutosi a Nice nel 2017.
A Web-based Petri Nets Application To Teach Music Analysis and Composition
A. Barate'Primo
2017
Abstract
Music Petri nets are a mathematical formalism suitable to express the results of musicological analysis. Being able to infer the structure of a music piece and to represent it through Petri nets is not a trivial task, even for an expert of musicology who is skilled in computational thinking. From this point of view, a computer-based tool can be useful both in the learning phase and in the a-posteriori assessment of the achieved results. After providing the theoretical bases about Petri nets, this paper will describe a web application for music education and dissemination, able to integrate and synchronize the results of music analysis with music-related media content within a single on-line framework.File | Dimensione | Formato | |
---|---|---|---|
elml2017_barate.pdf
accesso aperto
Tipologia:
Post-print, accepted manuscript ecc. (versione accettata dall'editore)
Dimensione
346.73 kB
Formato
Adobe PDF
|
346.73 kB | Adobe PDF | Visualizza/Apri |
Pubblicazioni consigliate
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.