Přístupnostní navigace
E-application
Search Search Close
Publication detail
BURGET, L., ČERNOCKÝ, J.
Original Title
Recognition of Speech with Non-random Attributes
Type
conference paper
Language
English
Original Abstract
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.
Keywords
Speech recognition, Hidden Markov Models, HMM
Authors
Released
17. 6. 2003
Publisher
Springer Verlag
Location
České Budějovice
ISBN
3-540-20024-X
Book
6th International Conference, TSD 2003 České Budějovice, Czech Republic, September 2003 Proceedings
0302-9743
Periodical
Lecture Notes in Computer Science
Year of study
2003
Number
09
State
Federal Republic of Germany
Pages from
1
Pages to
6
Pages count
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" }