Ontology-Based Retrieval of Human Speech

Authors:
Javier Tejedor;Roberto Garcia;Miriam Fernandez;Fernando J. Lopez-Colino;Ferran Perdrix;Jose A. Macias;Rosa M. Gil;Marta Oliva;Diego Moya;Jose Colas;Pablo Castells
Affiliations:
Universidad Autonoma de Madrid, Spain;Universitat de Lleida, Spain;Universidad Autonoma de Madrid, Spain;Universidad Autonoma de Madrid, Spain;Universitat de Lleida, Spain/ Diari SEGRE, Spain;Universidad Autonoma de Madrid, Spain;Universitat de Lleida, Spain;Universitat de Lleida, Spain;Universidad Autonoma de Madrid, Spain;Universidad Autonoma de Madrid, Spain;Universidad Autonoma de Madrid, Spain
Venue:
DEXA '07 Proceedings of the 18th International Conference on Database and Expert Systems Applications
Year:
2007

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Abstract

As part of the general growth and diversification of media in different modalities, the presence of information in the form of human speech in the world-wide body of digital content is becoming increasingly significant, in terms of both volume and value. We present a semantic-based search model for human speech corpora, stressing the search for meanings rather than words. Our framework embraces the complete recognition/retrieval cycle, from word spotting to semantic annotation, query processing, and search result presentation.