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ThinkMind // International Journal On Advances in Networks and Services, volume 4, numbers 3 and 4, 2011 // View article netser_v4_n34_2011_12


Constituting a Musical Sign Base through Score Analysis and Annotation

Authors:
Véronique Sébastien
Didier Sébastien
Noël Conruyt

Keywords: e-learning; knowledge management; sign management; multimedia; semantic web; musical score; music information retrieval; decision support

Abstract:
The recent progress in Information and Communication Technologies has given birth to advanced applications in the field of instrumental e-learning. However, most of these applications only propose a limited number of lessons on predetermined pieces, according to the vision of a single music expert. Thus, this article introduces a web platform to create music lessons dynamically and collaboratively, with the assistance of a semi-automatic score annotation module: @-MUSE. To do so, we first describe a new methodology to design such a platform: Sign Management. Then, we detail its general architecture as an Iterative Sign Base System based on a common practice in musical learning: score annotation. Lastly, we give various algorithms to generate relevant annotations on a score in order to explain it. These algorithms are based on the analysis of musical patterns difficulty. They are implemented within a module of @-MUSE called Score Analyzer. We present here its first results.

Pages: 386 to 398

Copyright: Copyright (c) to authors, 2011. Used with permission.

Publication date: April 30, 2012

Published in: journal

ISSN: 1942-2644

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