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Journal ArticleDOI

Elementi di Informatica Musicale

Marco Stroppa, +1 more
- 21 Jan 1986 - 
- Vol. 10, Iss: 1, pp 100
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This article is published in Computer Music Journal.The article was published on 1986-01-21. It has received 8 citations till now.

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Journal ArticleDOI

A novel XML music information retrieval method using graph invariants

TL;DR: A novel architecture based on a new XML language for music and a new model of melodic themes based on graph theory are dealt with, which takes advantage of particular graph invariants that can be linked tomelodic themes as metadata in order to characterize all their possible modifications through specific transformations and which can be exploited in filtering algorithms.
Journal ArticleDOI

Multi-model Music Content Description and Retrieval Using IEEE 1599 XML Standard

TL;DR: It is described how music/audio semantics can be actually represented within the Structural Layer of IEEE 1599, thanks to the introduction of novel Music Information Retrieval (MIR) objects that can be exploited by music search engines.
Book ChapterDOI

A graph theoretic approach to melodic similarity

TL;DR: Graph inclusion conditions are introduced, necessary conditions for graph inclusion are introduced and a similarity function between graphs is given which allows to assign different weights to the elements belonging to different graph powers.
Book ChapterDOI

Hunting Musical Knowledge in Darkest Medialand

TL;DR: This chapter focuses on three decades of work on the application of artificial intelligence techniques and human-computer interface design to music education, against a background of four centuries of musical experience, and draws lessons applicable to the development of learning in any field.
Journal ArticleDOI

Music processing at L.I.M.

TL;DR: An overview of the research and didactic activities of the Laboratorio di Informatica Musicale of the University of Milan and the definition of formal methods and the implementation of software and hardware tools to process music at various abstraction levels is presented.