DocumentCode :
2702047
Title :
Unsupervised Lexicon Acquisition from Speech and Text
Author :
Kurata, Gakuto ; Mori, Shinsuke ; Itoh, N. ; Nishimura, M.
Author_Institution :
IBM Res., IBM Japan Ltd., Kanagawa, Japan
Volume :
4
fYear :
2007
fDate :
15-20 April 2007
Abstract :
When introducing a large vocabulary continuous speech recognition (LVCSR) system into a specific domain, it is preferable to add the necessary domain-specific words and their correct pronunciations selectively to the lexicon, especially in the areas where the LVCSR system should be updated frequently by adding new words. In this paper, we propose an unsupervised method of word acquisition in Japanese, where no spaces exist between words. In our method, by taking advantage of the speech of the target domain, we selected the domain-specific words among an enormous number of word candidates extracted from the raw corpora. The experiments showed that the acquired lexicon was of good quality and that it contributed to the performance of the LVCSR system for the target domain.
Keywords :
natural languages; speech recognition; Japanese word acquisition; large vocabulary continuous speech recognition system; text; unsupervised lexicon acquisition; Laboratories; Magnetooptic recording; Natural languages; Speech recognition; Vocabulary; Large Vocabulary Continuous Speech Recognition; Lexicon acquisition; Stochastically segmented corpus;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference on
Conference_Location :
Honolulu, HI
ISSN :
1520-6149
Print_ISBN :
1-4244-0727-3
Type :
conf
DOI :
10.1109/ICASSP.2007.366939
Filename :
4218127
Link To Document :
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