Publication Details

Hybrid word-subword decoding for spoken term detection

SZŐKE Igor, FAPŠO Michal, BURGET Lukáš and ČERNOCKÝ Jan. Hybrid word-subword decoding for spoken term detection. In: Proc. SSCS 2008: Speech search workshop at SIGIR. Singapore: Association for Computing Machinery, 2008, p. 4. ISBN 978-90-365-2697-5.
Czech title
Hybridní slovní a podslovní dekóodování pro detekci klíčových frází v řeči
Type
conference paper
Language
english
Authors
URL
Keywords

spoken term detection

Abstract

The paper is hybrid word-subword decoding for spoken term detection

Annotation

This paper deals with a hybrid word-subword recognition system for spoken term detection. The decoding is driven by a hybrid recognition network and the decoder directly produces hybrid word-subword lattices. One phone and two multigram models were tested to represent sub-word units. The systems were evaluated in terms of spoken term detection accuracy and the size of index. We concluded that the best subword model for hybrid word-subword recognition is the multigram model trained on the word recognizer vocabulary. We achieved an improvement in word recognition accuracy, and in spoken term detection accuracy when in-vocabulary and out-of-vocabulary terms are searched separately. Spoken term detection accuracy with the full (in-vocabulary and out-of-vocabulary) term set was slightly worse but the required index size was significantly reduced.

Published
2008
Pages
4
Proceedings
Proc. SSCS 2008: Speech search workshop at SIGIR
Conference
31st International ACM SIGIR Conference, Singapur, SG
ISBN
978-90-365-2697-5
Publisher
Association for Computing Machinery
Place
Singapore, SG
BibTeX
@INPROCEEDINGS{FITPUB8729,
   author = "Igor Sz\H{o}ke and Michal Fap\v{s}o and Luk\'{a}\v{s} Burget and Jan \v{C}ernock\'{y}",
   title = "Hybrid word-subword decoding for spoken term detection",
   pages = 4,
   booktitle = "Proc. SSCS 2008: Speech search workshop at SIGIR",
   year = 2008,
   location = "Singapore, SG",
   publisher = "Association for Computing Machinery",
   ISBN = "978-90-365-2697-5",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/8729"
}
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