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Citation

Bartoš, T. and Müller, L. : Detection of recognition errors based on classifiers trained on artificially created data . Eurospeech, vol. 1, p. 3361-3364, ISCA, Lisboa, 2005.

Abstract

This paper wishes to contribute to the solution of the problem occurring when an automatic speech recognition system does not recognize an input utterance correctly. The solution is usually based on a utilization of a confidence measure (CM) which is assigned to each recognized word and which informs a user or a higher level module on the belief that the recognized word has been really said. The basic elementary unit for which the presented CM is investigated is a phone. A rejection technique based on the described CM was evaluated on the Czech yellow-pages database.

Detail of publication

Title: Detection of recognition errors based on classifiers trained on artificially created data
Author: Bartoš, T. ; Müller, L.
Language: English
Date of publication: 4 Sep 2005
Year: 2005
Type of publication: Papers in journals
Title of journal or book: Eurospeech
Číslo vydání: 1
Page: 3361 - 3364
ISBN: 1018-4074
ISSN: 1018-4074
Publisher: ISCA
Address: Lisboa
Date: 4 Sep 2005 - 8 Sep 2005
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Keywords

confidence measure, artificial data, rejection

BibTeX

@ARTICLE{BartosT_2005_Detectionof_1,
 author = {Barto\v{s}, T. and M\"{u}ller, L.},
 title = {Detection of recognition errors based on classifiers trained on artificially created data},
 year = {2005},
 publisher = {ISCA},
 journal = {Eurospeech},
 address = {Lisboa},
 volume = {1},
 pages = {3361-3364},
 ISBN = {1018-4074},
 ISSN = {1018-4074},
 url = {http://www.kky.zcu.cz/en/publications/BartosT_2005_Detectionof_1},
}