Paper Info
Title
Querying Databases of Annotated Speech
Abstract
Annotated 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 harmonizes 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.
Year
DOI
Venue
2002
10.1109/ADC.2000.819808
Computing Research Repository
Keywords
DocType
Volume
querying databases,illustrative application,annotated speech,signal data,annotated speech corpus,analytical problem,annotated speech databases,linguistic databases,macquarie university,large linguistic databases,additional layer,various query language,query language
Journal
cs.CL/0204
ISSN
ISBN
Citations 
Database Technologies: Proceedings of the Eleventh Australasian Database Conference, pp. 12-20, IEEE Computer Society, 2000
0-7695-0528-7
13
PageRank 
References 
Authors
7.76
5
2
Name
Order
Citations
PageRank
Steve Cassidy1137.76
Steven Bird217364.42