Článek ve sborníku konference

 
Goel, N., K., Thomas, S., Agarwal, M., Akyazi, P., Burget, L., Feng, K., Ghoshal, A., Glembek, O., Karafiát, M., Povey, D., Rastrow, A., Rose, R., Schwarz, P.: Approaches to automatic LEXICON learning with limited training examples, In: Proc. International Conference on Acoustics, Speech, and Signal Processing, Dallas, US, IEEESP, 2010, s. 5094-5097, ISBN 978-1-4244-4296-6, ISSN 1520-6149
Jazyk publikace:angličtina
Název publikace:Approaches to automatic LEXICON learning with limited training examples
Název (cs):Přístupy k automatickému učení slovníku s omezenými trénovacími daty
Strany:5094-5097
Sborník:Proc. International Conference on Acoustics, Speech, and Signal Processing
Konference:International Conference on Acoustics, Speech, and Signal Processing 2010
Místo vydání:Dallas, US
Rok:2010
ISBN:978-1-4244-4296-6
Časopis:Proc. International Conference on Acoustics, Speech, and Signal Processing, roč. 2010, č. 3, Piscataway, US
ISSN:1520-6149
Vydavatel:IEEE Signal Processing Society
URL:http://www.fit.vutbr.cz/research/groups/speech/publi/2010/goel_icassp2010_0005094.pdf [PDF]
Klíčová slova
Lexicon Learning, LVCSR
Anotace
Článek pojednává o přístupech k automatickému učení slovníku s omezenými trénovacími daty. Využíváme kombinaci různých technik učení slovníku.
Abstrakt
Preparation of a lexicon for speech recognition systems can be a significant effort in languages where the written form is not exactly phonetic. On the other hand, in languages where the written form is quite phonetic, some common words are often mispronounced. In this paper, we use a combination of lexicon learning techniques to explore whether a lexicon can be learned when only a small lexicon is available for boot-strapping. We discover that for a phonetic language such as Spanish, it is possible to do that better than what is possible from generic rules or hand-crafted pronunciations. For a more complex language such as English, we find that it is still possible but with some loss of accuracy.
BibTeX:
@INPROCEEDINGS{
   author = {K. Nagendra Goel and Samuel Thomas and Mohit Agarwal and
	Pinar Akyazi and Lukáš Burget and Kai Feng and Arnab Ghoshal
	and Ondřej Glembek and Martin Karafiát and Daniel Povey and
	Ariya Rastrow and Richard Rose and Petr Schwarz},
   title = {Approaches to automatic LEXICON learning with limited
	training examples},
   pages = {5094--5097},
   booktitle = {Proc. International Conference on Acoustics, Speech, and
	Signal Processing},
   journal = {Proc. International Conference on Acoustics, Speech, and
	Signal Processing},
   volume = {2010},
   number = {3},
   year = {2010},
   location = {Dallas, US},
   publisher = {IEEE Signal Processing Society},
   ISBN = {978-1-4244-4296-6},
   ISSN = {1520-6149},
   language = {english},
   url = {http://www.fit.vutbr.cz/research/view_pub.php?id=9309}
}