Detection of degree of developmental dysphasia based on methods of vowel analysis

Vavrina, Josef; Zetocha, Petr; Tuckova, Jana

doi:10.1109/tsp.2012.6256345

Cited by 7 publications

(1 citation statement)

References 2 publications

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“…The idea is to create a vowel detector and use the vowel classification rate to separate children into four groups: 1 -healthy, 2 -mild DD, 3 -moderate DD, 4 -severe DD [10]. We use two main methods: 1) Supervised self-organizing map -SSOM: If the vowel detector is created using SSOM, there are five areas for each vowel in the map.…”

Section: Vowel Detectionmentioning

confidence: 99%

Databases and their applications for diagnosis of developmental dysphasia

Grill

Vavrina

Tuckova

2013

2013 IEEE 11th International Workshop of Electronics, Control, Measurement, Signals and Their Application to Mechatronics

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The aim of the paper is to introduce the database containing speech data of children from 6 to 12 years of age. There are two groups of data in the database; the first contains data of healthy children; the second contains data of children with developmental dysphasia (DD). The first part of the paper shows the methodology, how the database was created and what data it contains. The next part describes the method used by the authors for diagnosis of DD. We briefly explain methods based on the classification rate of vowel detection, vocalic triangle analysis, length of utterances etc. The aim of the methods is to separate children with DD into groups according to the significance of their disorder.

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Section: Vowel Detectionmentioning

confidence: 99%