Conference paper

SZŐKE Igor, BURGET Lukáš, ČERNOCKÝ Jan and FAPŠO Michal. Sub-word modeling of out of vocabulary words in spoken term detection. In: Proc. 2008 IEEE Workshop on Spoken Language Technology. Goa: IEEE Signal Processing Society, 2008, p. 4. ISBN 978-1-4244-3472-5.
Publication language:english
Original title:Sub-word modeling of out of vocabulary words in spoken term detection
Title (cs):Pod slovní modelování slov mimo slovník v detekci mluvených výrazů
Pages:4
Proceedings:Proc. 2008 IEEE Workshop on Spoken Language Technology
Conference:2008 IEEE Workshop on Spoken Language Technology
Place:Goa, IN
Year:2008
ISBN:978-1-4244-3472-5
Publisher:IEEE Signal Processing Society
URL:http://www.fit.vutbr.cz/research/groups/speech/publi/2008/szoke_slt2008.pdf [PDF]
Keywords
phone, multigram, spoken term detection, subword, keyword spotting, syllable, lattice

Annotation
The work is on sub-word modeling of out of vocabulary words in spoken term detection
Abstract
This paper deals with comparison of sub-word based methods for
spoken term detection (STD) task and phone recognition. The subword units are needed for search for out-of-vocabulary words. We compared words, phones and multigrams. The maximal length and pruning of multigrams were investigated first. Then two constrained methods of multigram training were proposed. We evaluated on the NIST STD06 dev-set CTS data. The conclusion is that the proposed method improves the phone accuracy more than 9% relative and STD accuracy more than 7% relative.

BibTeX:
@INPROCEEDINGS{
   author = {Igor Sz{\H{o}}ke and Luk{\'{a}}{\v{s}} Burget and Jan
	{\v{C}}ernock{\'{y}} and Michal Fap{\v{s}}o},
   title = {Sub-word modeling of out of vocabulary words in spoken term
	detection},
   pages = {4},
   booktitle = {Proc. 2008 IEEE Workshop on Spoken Language Technology},
   year = {2008},
   location = {Goa, IN},
   publisher = {IEEE Signal Processing Society},
   ISBN = {978-1-4244-3472-5},
   language = {english},
   url = {http://www.fit.vutbr.cz/research/view_pub.php?id=8840}
}

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