SPEECH ANALYSIS OF CHILDREN WITH SPECIFIC LANGUAGE IMPAIRMENT
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F15%3A00225569" target="_blank" >RIV/68407700:21230/15:00225569 - isvavai.cz</a>
Výsledek na webu
<a href="http://www.journals.elsevier.com/biomedical-signal-processing-and-control" target="_blank" >http://www.journals.elsevier.com/biomedical-signal-processing-and-control</a>
DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
SPEECH ANALYSIS OF CHILDREN WITH SPECIFIC LANGUAGE IMPAIRMENT
Popis výsledku v původním jazyce
Specific Language Impairment (SLI) is frequent and serious neurodevelopmental impairment of speech analysis and production. SLI is a language disorder that is usually diagnosed in early childhood. The aim of this case-control study was to compare the speech signal analysis between children with SLI and the controls, i.e., healthy children. Databases with a comparative corpus for the children with SLI and the controls were created. The texts of the recorded utterances were composed by speech therapists and clinical psychologists. Logistic regression confirmed that the longer duration of the utterances were significantly associated with a higher risk of SLI. As indicated by K-means cluster analysis, the duration of the utterances were also correlated with the degree of severity of SLI that was defined by a speech therapist. One of the Artificial Neural Network (ANN) techniques, called Self-Organizing Maps (SOM), was used for a vowel analysis and a visualization of the highly dimensional speech data. The results of these analyses created a basis that allowed for the patients to be split into three groups. The replacement of vowels in the so-called vocalic triangle (based on formant analysis) is already a characteristic of this disorder. Systematic and profound analysis of the signals of children’s speech could complement the analysis of the logopaedical, psychological and electrophysiological manifestation of children with SLI.
Název v anglickém jazyce
SPEECH ANALYSIS OF CHILDREN WITH SPECIFIC LANGUAGE IMPAIRMENT
Popis výsledku anglicky
Specific Language Impairment (SLI) is frequent and serious neurodevelopmental impairment of speech analysis and production. SLI is a language disorder that is usually diagnosed in early childhood. The aim of this case-control study was to compare the speech signal analysis between children with SLI and the controls, i.e., healthy children. Databases with a comparative corpus for the children with SLI and the controls were created. The texts of the recorded utterances were composed by speech therapists and clinical psychologists. Logistic regression confirmed that the longer duration of the utterances were significantly associated with a higher risk of SLI. As indicated by K-means cluster analysis, the duration of the utterances were also correlated with the degree of severity of SLI that was defined by a speech therapist. One of the Artificial Neural Network (ANN) techniques, called Self-Organizing Maps (SOM), was used for a vowel analysis and a visualization of the highly dimensional speech data. The results of these analyses created a basis that allowed for the patients to be split into three groups. The replacement of vowels in the so-called vocalic triangle (based on formant analysis) is already a characteristic of this disorder. Systematic and profound analysis of the signals of children’s speech could complement the analysis of the logopaedical, psychological and electrophysiological manifestation of children with SLI.
Klasifikace
Druh
O - Ostatní výsledky
CEP obor
JA - Elektronika a optoelektronika, elektrotechnika
OECD FORD obor
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Návaznosti výsledku
Projekt
<a href="/cs/project/NT11443" target="_blank" >NT11443: Korelace MR traktografie, EEG analýz a počítačového zpracování řečového signálu u dětí s vývojovou dysfázií</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2015
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů