Several paradigms for high-level music descriptions have been proposed to develop effective system for browsing and retrieving musical content in large repositories. Such paradigms are based on either categorical or dimensional models. The interest in dimensional models has recently grown a great deal, as they define a semantic relation be- tween concepts through graded descriptions. One problem that affects semantic descriptions is the ambiguity that often arises from using the same descriptor in different contexts. In order to overcome this difficulty, it is important to model and address polysemy, which is the property of words to take on different meanings depending on the use-context. In this paper we propose a Dimensional Contextual Semantic Model for defining semantic relations among descriptors in a context-aware fashion. This model is here used for develop- ing a semantic music search engine. In order to evaluate the effectiveness of our model, we compare this engine with two systems that are based on different description models.

A Dimensional Contextual Semantic Model for music description and retrieval

BUCCOLI, MICHELE;ZANONI, MASSIMILIANO;SARTI, AUGUSTO;TUBARO, STEFANO
2015

Abstract

Several paradigms for high-level music descriptions have been proposed to develop effective system for browsing and retrieving musical content in large repositories. Such paradigms are based on either categorical or dimensional models. The interest in dimensional models has recently grown a great deal, as they define a semantic relation be- tween concepts through graded descriptions. One problem that affects semantic descriptions is the ambiguity that often arises from using the same descriptor in different contexts. In order to overcome this difficulty, it is important to model and address polysemy, which is the property of words to take on different meanings depending on the use-context. In this paper we propose a Dimensional Contextual Semantic Model for defining semantic relations among descriptors in a context-aware fashion. This model is here used for develop- ing a semantic music search engine. In order to evaluate the effectiveness of our model, we compare this engine with two systems that are based on different description models.
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
9781467369978
9781467369978
information retrieval; music; music recommendation; polysemy; semantic contexts; Signal Processing; Software; Electrical and Electronic Engineering
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/988690
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