Speaker adaptation in the Czech large vocabulary continuous speech recognition system
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F01%3A00064720" target="_blank" >RIV/49777513:23520/01:00064720 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Speaker adaptation in the Czech large vocabulary continuous speech recognition system
Original language description
This paper presents a method for improvement of a recognition rate in the Czech large vocabulary continuous speech recognition system. Speaker independent systems are usually trained by the speech data of many speakers but achieve a lower recognition rate than speaker dependent systems. A need for a large amount of the speech training data from each speaker makes the latter practically unusable. Speaker adaptation is a general name for a group of methods which try to increase a recognition rate of the SI system using only a small amount of training speech data from a new speaker. The maximum a posteriori method (based on Bayesian approach) together with its necessary corrections for the Czech language (the parameter tying method) is presented. Resultsof experiments that were carried out to verify performance of presented methods are discussed in the last part of this article.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GV102%2F96%2FK087" target="_blank" >GV102/96/K087: Theory and application of speach communication in czech</a><br>
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2001
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Speaker adaptation in the Czech large vocabulary continuous speech recognition system
ISBN
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ISSN
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e-ISSN
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Number of pages
3
Pages from-to
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Publisher name
Université Paul Sabatier
Place of publication
Toulouse
Event location
Toulouse
Event date
Jan 1, 2001
Type of event by nationality
CST - Celostátní akce
UT code for WoS article
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