Use this url to cite publication: https://hdl.handle.net/20.500.12259/41609
Specifics of hidden Markov Model modifications for large vocabulary continuous speech recognition
Type of publication
Straipsnis Web of Science ir Scopus duomenų bazėje / Article in Web of Science and Scopus database (S1)
Title
Specifics of hidden Markov Model modifications for large vocabulary continuous speech recognition
Is part of
Informatica: international journal. Vilnius : Institute of mathematics and informatics, 2004, Vol. 15, no. 1
Date Issued
| Date |
|---|
2004 |
Publisher
Vilnius : Institute of mathematics and informatics
Extent
p. 93-110
Abstract (en)
Specifics of hidden Markov model-based speech recognition are investigated. Influence of modeling simple and context-dependent phones, using simple Gaussian, two and three-component Gaussian mixture probability density functions for modeling feature distribution, and incorporating language model are discussed. Word recognition rates and model complexity criteria are used for evaluating suitability of these modifications for practical applications. Development of large vocabulary continuous speech recognition system using HTK toolkit and WSJCAM0 English speech corpus is described. Results of experimental investigations are presented.
Type of document
type::text::journal::journal article::research article
Language
Anglų / English (en)
Coverage Spatial
Lietuva / Lithuania (LT)
ISSN (of the container)
0868-4952
WOS
WOS:000220507200007
Other Identifier(s)
VDU02-000002084
| Journal | IF | AIF | AIF (min) | AIF (max) | Cat | AV | Year | Quartile |
|---|---|---|---|---|---|---|---|---|
INFORMATICA | 0.26 | 0.847 | 0.665 | 1.029 | 2 | 0.346 | 2004 | Q4 |
| Journal | IF | AIF | AIF (min) | AIF (max) | Cat | AV | Year | Quartile |
|---|---|---|---|---|---|---|---|---|
INFORMATICA | 0.26 | 0.847 | 0.665 | 1.029 | 2 | 0.346 | 2004 | Q4 |