Speech disorder analysis using Matching Pursuit and Kohonen Self-Organizing Maps

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F12%3A00201961" target="_blank" >RIV/68407700:21230/12:00201961 - isvavai.cz</a>
Result on the web
<a href="http://www.nnw.cz/" target="_blank" >http://www.nnw.cz/</a>
DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Speech disorder analysis using Matching Pursuit and Kohonen Self-Organizing Maps
Original language description
The method described in the following text was developed to analyze disordered children speech. The diagnosis of the children is developmental dysphasia. Since developmental dysphasia has impact on children's speech ability, the classification of utterances helps to determine whether treatment and medication are appropriate. The paper describes the method developed to provide classification based on utterances but without any additional demands on speech preprocessing (e.g. labeling). The method uses Matching Pursuit algorithm for speech parameterization and Kohonen Self-Organizing Maps for extraction of features from utterances. Features extracted from the utterances of healthy children are then compared to features obtained from the speech of children suffering from the illness.
Czech name
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Czech description
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Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
JA - Electronics and optoelectronics
OECD FORD branch
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Project
<a href="/en/project/NT11443" target="_blank" >NT11443: Computer analysis of speech expression, EEG records and MR tractography in children with developmental dysphasia</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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