Títol:
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Bridging the Music Semantic Gap
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Autor/a:
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Celma Herrada, Òscar; Herrera Boyer, Perfecto, 1964-; Serra, Xavier
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Abstract:
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In this paper we present the music information plane and the
dfferent levels of information extraction that exist in the musical domain.
Based on this approach we propose a way to overcome the existing semantic
gap in the music field. Our approximation is twofold: we propose
a set of music descriptors that can automatically be extracted from the
audio signals, and a top-down approach that adds explicit and formal
semantics to these annotations. These music descriptors are generated
in two ways: as derivations and combinations of lower-level descriptors
and as generalizations induced from manually annotated databases by
the intensive application of machine learning. We belive that merging
both approaches (bottom-up and top-down) can overcome the existing
semantic gap in the musical domain. |
Abstract:
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The reported research has been funded by the EU-FP6-IST-507142 project
SIMAC (Semantic Interaction with Music Audio Contents). |
Drets:
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© 2006 the authors
https://creativecommons.org/licenses/by/3.0/es/
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Tipus de document:
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Objecte de conferència Article - Versió publicada |
Publicat per:
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CEUR Workshop Proceedings
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