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-List Of Titles -Multi-level annotation in the Emu speech database management system

Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.14/19163

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Title
Multi-level annotation in the Emu speech database management system
Related
Speech communication, Vol. 33, Issue 1-2, p.61-77
DOI
10.1016/S0167-6393(00)00069-8
Publisher
Elsevier
Date
2001
Author/Creator
Cassidy, Steve
Author/Creator
Harrington, Jonathan
Description
Researchers in various fields, from acoustic phonetics to child language development, rely on digitised collections of spoken language data as raw material for research. Access to this data had, in the past, been provided in an ad-hoc manner with labelling standards and software tools developed to serve only one or two projects. A few attempts have been made at providing generalised access to speech corpora but none of these have gained widespread popularity. The Emu system, described here, is a general purpose speech database management system which supports complex multi-level annotations. Emu can read a number of popular label and data file formats and supports overlaying additional annotation with inter-token relations on existing time-aligned label files. Emu provides a graphical labelling tool which can be extended to provide special purpose displays. The software is easily extended via the Tcl/Tk scripting language which can be used, for example, to manipulate annotations and build graphical tools for database creation. This paper discusses the design of the Emu system, giving a detailed description of the annotation structures that it supports. It is argued that these structures are sufficiently general to allow Emu to read potentially any time-aligned linguistic annotation.
Description
17 page(s)
Subject Keyword
speech databases
Subject Keyword
speech annotation
Resource Type
journal article
Organisation
Macquarie University. Macquarie Centre for Cognitive Science
Organisation
Macquarie University. Dept. of Computing
Organisation
Macquarie University. Dept. of Linguistics

Identifier
http://hdl.handle.net/1959.14/19163
Identifier
ISSN:0167-6393
Identifier
mq-rm-2001012757
Language
eng
Reviewed
Reviewed
Save/E-mail Citation
Citation Format
E-mail Address
Subject
"Speech communication"
 
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