Querying Databases of Annotated Speech

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dc.creatorCassidy, Steve
dc.creatorBird, Steven
dc.date2002-04-11
dc.date.accessioned2026-07-07T03:18:18Z
dc.date.available2026-07-07T03:18:18Z
dc.descriptionAnnotated speech corpora are databases consisting of signal data along with time-aligned symbolic `transcriptions'. Such databases are typically multidimensional, heterogeneous and dynamic. These properties present a number of tough challenges for representation and query. The temporal nature of the data adds an additional layer of complexity. This paper presents and harmonises two independent efforts to model annotated speech databases, one at Macquarie University and one at the University of Pennsylvania. Various query languages are described, along with illustrative applications to a variety of analytical problems. The research reported here forms a part of several ongoing projects to develop platform-independent open-source tools for creating, browsing, searching, querying and transforming linguistic databases, and to disseminate large linguistic databases over the internet.
dc.description9 pages, 4 figures
dc.identifierhttps://arxiv.org/abs/cs/0204026
dc.identifierhttp://arxiv.org/abs/cs/0204026
dc.identifierDatabase Technologies: Proceedings of the Eleventh Australasian Database Conference, pp. 12-20, IEEE Computer Society, 2000
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/31056
dc.subjectComputation and Language
dc.subjectDatabases
dc.subjectH.2.3; H.2.4; H.5.5; I.2.7; J.5
dc.titleQuerying Databases of Annotated Speech
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