Conference paper

BURGET, L., SCHWARZ, P., MATĚJKA, P., HANNEMANN, M., RASTROW, A., WHITE, C., KHUDANPUR, S., HEŘMANSKÝ, H. and ČERNOCKÝ, J.. Combination of strongly and weakly constrained recognizers for reliable detection of OOVs. In: Proc. International Conference on Acoustics, Speech, and Signal Processing (ICASSP). Las Vegas: IEEE Signal Processing Society, 2008, p. 4. ISBN 1-4244-1484-9.
Publication language:english
Original title:Combination of strongly and weakly constrained recognizers for reliable detection of OOVs
Title (cs):Kombinace silných a slabých rozpoznávačů pro spolehlivé určení OOV slov
Pages:4
Proceedings:Proc. International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
Conference:33rd International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
Place:Las Vegas, US
Year:2008
ISBN:1-4244-1484-9
Publisher:IEEE Signal Processing Society
URL:http://www.fit.vutbr.cz/research/groups/speech/publi/2008/oov_icassp2008_final.pdf [PDF]
Keywords
speech processing, speech recognition, OOV detection, utterance verification
Annotation
The paper is on the description of combination of strongly and weakly constrained  recognizers for reliable detection of OOVs.
Abstract
This paper addresses the detection of OOV segments in the output of large vocabulary continuous speech recognition (LVCSR) system. First, standard confidence measures based on frame-based word- and phone- posteriors are investigated. Substantial improvement was however obtained when posteriors from two systems - strongly constrained (LVCSR) and weakly constrained (phone posterior estimator) were combined. We show that this approach is suitable also for the detection of general recognition errors. All the results are presented on WSJ task with reduced recognition vocabulary.
BibTeX:
@INPROCEEDINGS{
   author = {Lukáš Burget and Petr Schwarz and Pavel Matějka and Mirko
	Hannemann and Ariya Rastrow and Christopher White and
	Sanjeev Khudanpur and Hynek Heřmanský and Jan Černocký},
   title = {Combination of strongly and weakly constrained  recognizers
	for reliable detection of OOVs},
   pages = {4},
   booktitle = {Proc. International Conference on Acoustics, Speech, and
	Signal Processing (ICASSP)},
   year = {2008},
   location = {Las Vegas, US},
   publisher = {IEEE Signal Processing Society},
   ISBN = {1-4244-1484-9},
   language = {english},
   url = {http://www.fit.vutbr.cz/research/view_pub.php.en?id=8494}
}

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