TRAP-based Techniques for Recognition of Noisy Speech

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F07%3APU70862" target="_blank" >RIV/00216305:26230/07:PU70862 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
TRAP-based Techniques for Recognition of Noisy Speech
Original language description
This paper presents a systematic study of performance of TempoRAl Patterns (TRAP) based features and their proposed modifications and combinations for speech recognition in noisy environment. The experimental results are obtained on AURORA2 database withclean training data. We observed large dependency of performance of different TRAP modifications on noise level. Earlier proposed TRAP system modifications help in clean conditions but degrade the system performance in presence of noise. The combinationtechniques on the other hand can bring large improvement in case of weak noise and degrade only slightly for strong noise cases. The vector concatenation combination technique is improving the system performance up to strong noise.<br>
Czech name
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Czech description
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Project
<a href="/en/project/GA102%2F05%2F0278" target="_blank" >GA102/05/0278: New trends in research and application of voice technology</a><br>
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year
2007
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proc. 10th International Conference on Text Speech and Dialogue (TSD 2007)
ISBN
978-3-540-74627-0
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
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Publisher name
Springer Verlag
Place of publication
Berlin
Event location
Plzeň
Event date
Sep 3, 2007
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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