Improving the computational complexity and word recognition rate for dysarthria speech using robust frame selection algorithm
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F17%3APU124660" target="_blank" >RIV/00216305:26220/17:PU124660 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1504/IJSISE.2017.10006783" target="_blank" >http://dx.doi.org/10.1504/IJSISE.2017.10006783</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1504/IJSISE.2017.10006783" target="_blank" >10.1504/IJSISE.2017.10006783</a>
Alternative languages
Result language
angličtina
Original language name
Improving the computational complexity and word recognition rate for dysarthria speech using robust frame selection algorithm
Original language description
Dysarthria is a speech syndrome caused by the neurological damage in motor speech glands. In this paper, a robust frame selection algorithm has been employed to recognise the dysarthria speech with less time consumption. This algorithm determines the more informative frames which in turn reduce the size of feature matrix used for recognising the speech. This method results in a significant reduction in computational complexity without compromising with the word recognition rate (WRR) which may support a real time application. The amalgamation of four prosodic features: Mel frequency cepstral coefficients (MFCCs), Log of energy per frame, differential MFCCs and double differential MFCCs has been used for training and testing the Hidden Markov Models (HMMs) for speech recognition. Several try-outs were performed on the high, medium and low intelligibility audio clips with a vocabulary size of 29 isolated words. The time complexity of the whole system is reduced up to 54.8% with respect to the time taken by the system without implementing RFS. The proposed scheme is gender, speaker and age independent
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20201 - Electrical and electronic engineering
Result continuities
Project
<a href="/en/project/LO1401" target="_blank" >LO1401: Interdisciplinary Research of Wireless Technologies</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
International Journal of Signal and Imaging Systems Engineering
ISSN
1748-0698
e-ISSN
1748-0701
Volume of the periodical
10
Issue of the periodical within the volume
3
Country of publishing house
GB - UNITED KINGDOM
Number of pages
10
Pages from-to
136-145
UT code for WoS article
000416610700003
EID of the result in the Scopus database
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