Abstract
In this paper, two related subjects are discussed: musical segmentation and the representation of its results in a particular XML encoding, namely MX. About segmentation, there is a comprehensive discussion of the main ideas and the employed operators to implement it. Besides, in this paper we describe the principles of our music XML format.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Definition of a Commonly Acceptable Musical Application Using the XML Language, http://www.lim.dico.unimi.it/ieee/xml.html
LIM Official WebSite, http://www.lim.dico.unimi.it
Bertino, E., Catania, B., Ferrari, E.: Multimedia IR: Models and Languages. Modern Information Retrieval. Addison-Wesley, Reading (1999)
Brinkman, A.R.: PASCAL Programming for Music Research. The University of Chicago Press, Chicago (1990)
D’Onofrio, A.: Methods for Integrated Timed Audio and Textual Digital Music Processing, Master Thesis. Computer Science Department, University of Milan (1999)
Frazzini, G., Haus, G., Pollastri, E.: Cross Automatic Indexing of Score and Audio Sources: Approaches for Music Archive Applications. In: Proceedings of the ACM SIGIR 1999 Music Information Retrieval Workshop, Berkeley (1999)
Guagnini, S.: Strategies and Tools for the Automatic Segmentation of Music, Master Thesis, Computer Science Department, University of Milan (1998)
Haus, G., Longari, M.: Towards a Symbolic/Time-Based Music language based on XML. In: IEEE Proceedings of MAX2002, Milan (2002)
Haus, G., Pollastri, E.: A Multimodal Framework for Music Inputs. In: Proceedings of the ACM Multimedia. ACM Press, Los Angeles (2000)
Lerdahl, F., Jackendoff, R.: A Generative Theory of Tonal Music. The MIT Press, Cambridge (1983)
Longari, M.: Formal and software tools for a commonly acceptable musical application using the XML language, Ph. D. Thesis, Computer Science Department, University of Milan (2003)
Ludovico, L.A.: Automatic Identification of Musical Structures: Models and Software Prototypes, Master Thesis, Informatics Engineering Department, Politecnico of Milan (2003)
Polansky, L.: Morphological Metrics, Journal of New Music Research, vol. 25, pp. 289-368, Swets & Zeilinger Publ., Amsterdam (1996)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Haus, G., Ludovico, L.A. (2005). Music Segmentation: An XML-oriented Approach. In: Wiil, U.K. (eds) Computer Music Modeling and Retrieval. CMMR 2004. Lecture Notes in Computer Science, vol 3310. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-31807-1_24
Download citation
DOI: https://doi.org/10.1007/978-3-540-31807-1_24
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-24458-5
Online ISBN: 978-3-540-31807-1
eBook Packages: Computer ScienceComputer Science (R0)