Scoresynth: a system for the synthesis of music scores based on Petri nets and a music algebra
Computer - Special issue: Computer-generated music
The computer music tutorial
A multimodal framework for music inputs (poster session)
MULTIMEDIA '00 Proceedings of the eighth ACM international conference on Multimedia
Modern Information Retrieval
A score-driven approach to music information retrieval
Journal of the American Society for Information Science and Technology - Music information retrieval
A Multi-Layered, TimeBased Music Description Approach Based on XML
Computer Music Journal
A Framework for Music Content Description and Retrieval
ECDL '08 Proceedings of the 12th European conference on Research and Advanced Technology for Digital Libraries
A generalized graph-spectral approach to melodic modeling and retrieval
MIR '08 Proceedings of the 1st ACM international conference on Multimedia information retrieval
A novel framework for efficient automated singer identification in large music databases
ACM Transactions on Information Systems (TOIS)
An IEEE 1599-Based Interface for Score Analysis
Computer Music Modeling and Retrieval. Genesis of Meaning in Sound and Music
Indexing melodic sequences via wavelet transform
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
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The increasing diffusion of XML languages for the encoding of domain-specific multimedia information raises the need for new information retrieval models that can fully exploit structural information. An XML language specifically designed for music like MX allows queries to be made directly on the thematic material. The main advantage of such a system is that it can handle symbolic, notational, and audio objects at the same time through a multilayered structure. On the model side, common music information retrieval methods do not take into account the inner structure of melodic themes and the metric relationships between notes. In this article we deal with two main topics: a novel architecture based on a new XML language for music and a new model of melodic themes based on graph theory. This model takes advantage of particular graph invariants that can be linked to melodic themes as metadata in order to characterize all their possible modifications through specific transformations and that can be exploited in filtering algorithms. We provide a similarity function and show through an evaluation stage how it improves existing methods, particularly in the case of same-structured themes.