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BURGET, L., ČERNOCKÝ, J.
Originální název
Recognition of Speech with Non-random Attributes
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
Most of current speech recognition systems are based on Hidden Markov Models assuming that speech features are sequence of stationary stochastic processes. However, there are certain speech attributes, such as background noise type or speaker voice color, that do not have stochastic character. This fact is often ignored, by designers of robust speaker independent recognition system. In this work, we investigate how the performance of a noisy speech recognition can be improved provided that we have prior knowledge about type and level of noise. Next, recognizer that is using separate models, each trained on a particular type and level of noise, is proposed for more appropriate modeling of speech.
Klíčová slova
Speech recognition, Hidden Markov Models, HMM
Autoři
Vydáno
17. 6. 2003
Nakladatel
Springer Verlag
Místo
České Budějovice
ISBN
3-540-20024-X
Kniha
6th International Conference, TSD 2003 České Budějovice, Czech Republic, September 2003 Proceedings
ISSN
0302-9743
Periodikum
Lecture Notes in Computer Science
Ročník
2003
Číslo
09
Stát
Spolková republika Německo
Strany od
1
Strany do
6
Strany počet
URL
http://www.kiv.zcu.cz/events/tsd2003/, http://www.fit.vutbr.cz/~burget/phd_activities/burget_tsd03.pdf
BibTex
@inproceedings{BUT21496, author="Lukáš {Burget} and Jan {Černocký}", title="Recognition of Speech with Non-random Attributes", booktitle="6th International Conference, TSD 2003 České Budějovice, Czech Republic, September 2003 Proceedings", year="2003", journal="Lecture Notes in Computer Science", volume="2003", number="09", pages="6", publisher="Springer Verlag", address="České Budějovice", isbn="3-540-20024-X", issn="0302-9743", url="http://www.kiv.zcu.cz/events/tsd2003/, http://www.fit.vutbr.cz/~burget/phd_activities/burget_tsd03.pdf" }