Adaptation of Unknown Data to Already Trained Speech Recognition System
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F05%3APU67248" target="_blank" >RIV/00216305:26230/05:PU67248 - 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
Adaptation of Unknown Data to Already Trained Speech Recognition System
Original language description
This work deals with different speech rate for phoneme recognition based on a Tandem system with TRAP-feature processing. The estimation of rate is based on measuring entropy at the output of the phoneme classifier. Preliminary results obtained on TIMITdatabase show that this technique may lead to estimation of correct speech rate for mismatched data. This work brings further insight on temporal trajectories and systems based on them.
Czech name
Adaptace neznamých dat na natrénovaný systém
Czech description
Eliminace rozdílné rychlosti řeci pro TANDEMové příznaky založená na meření entropie<br>
Classification
Type
D - Article in proceedings
CEP classification
JC - Computer hardware and software
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2005
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Sborník prací konference a souteze Student EEICT 2005
ISBN
80-214-2890-2
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
1-4
Publisher name
Faculty of Information Technology BUT
Place of publication
Brno
Event location
Brno
Event date
Apr 28, 2005
Type of event by nationality
CST - Celostátní akce
UT code for WoS article
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