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

Title:

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

Creator:

Bártů, Marek

Identifier:

https://cdk.lib.cas.cz/client/handle/uuid:943a10b2-4f2e-4f5c-941c-30fe46a4f9cd
uuid:943a10b2-4f2e-4f5c-941c-30fe46a4f9cd
doi:10.14311/NNW.2012.22.032

Subject:

Developmental dysphasia, neurology, children's speech, Matching Pursuit, Kohonen Self-Organizing Maps, and Batch Map

Type:

model:article and TEXT

Format:

bez média and svazek

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.

Language:

English

Rights:

http://creativecommons.org/publicdomain/mark/1.0/
policy:public

Source:

Neural network world: international journal on neural and mass-parallel computing and information systems | 2012 Volume:22 | Number:6

Harvested from:

CDK

Metadata only:

false