Lexical and perceptual grounding of a sound ontology

Authors:
Anna Lobanova;Jennifer Spenader;Bea Valkenier
Affiliations:
Artificial Intelligence Department, University of Groningen, The Netherlands;Artificial Intelligence Department, University of Groningen, The Netherlands;Artificial Intelligence Department, University of Groningen, The Netherlands
Venue:
TSD'07 Proceedings of the 10th international conference on Text, speech and dialogue
Year:
2007

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Abstract

Sound ontologies need to incorporate source unidentifiable sounds in an adequate and consistent manner. Computational lexical resources like Word-Net have either inserted these descriptions into conceptual categories, or make no attempt to organize the terms for these sounds. This work attempts to add structure to linguistic terms for source unidentifiable sounds. Through an analysis of WordNet and a psycho-acoustic experiment we make some preliminary proposal about which features are highly salient for sound classification. This work is essential for interfacing between source unidentifiable sounds and linguistic descriptions of those sounds in computational applications, such as the Semantic Web and robotics.