Noise and Channel Normalized Cepstral Features for Far-Speech Recognition
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F13%3A00207411" target="_blank" >RIV/68407700:21230/13:00207411 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-01931-4_32" target="_blank" >http://dx.doi.org/10.1007/978-3-319-01931-4_32</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-01931-4_32" target="_blank" >10.1007/978-3-319-01931-4_32</a>
Alternative languages
Result language
angličtina
Original language name
Noise and Channel Normalized Cepstral Features for Far-Speech Recognition
Original language description
The paper analyses suitable features for distorted speech recognition. The aim is to explore the application of command ASR system when the speech is recorded with far-distance microphones with a possible strong additive and convolutory noise. The paperanalyses feasible contribution of basic spectral subtraction coupled with cepstral mean normalization in minimizing of the influence of present distortion in such far-talk channel. The results are compared with reference close-talk speech recognition system. The results show the improvement in WER for channels with low or medium SNR. Using the combination of these basic techniques WERR of 55.6% was obtained for medium distance channel and WERR of 22.5% for far distance channel.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JA - Electronics and optoelectronics
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Speech and Computer
ISBN
978-3-319-01930-7
ISSN
0302-9743
e-ISSN
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Number of pages
8
Pages from-to
241-248
Publisher name
Springer International Publishing AG
Place of publication
Cham
Event location
Plzen
Event date
Sep 1, 2013
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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