Artificial intelligence in the diagnosis of speech disorders in preschool and primary school children

Abstract

The research aims to analyse the effectiveness of diagnosing speech disorders in preschool children using computer methods. At the first stage, the sample consisted of 395 children without speech impairments and 120 children with speech impairments. They were tested for understanding complex logical and grammatical structures. At the second stage, the visual-spatial functions of children were assessed using the Rey-Osterrieth complex Figure test. The sample included 120 children with speech impairments, 44 children with special educational needs, and 41 children with a normal level of understanding of logical and grammatical structures. Cognitive functions and their level in each child were examined using the results of 18 tests. For 44 children with phonetic and speech disorders, an innovative method of computer animation was used to correct speech disorders. The results analysis using a computer programme showed improvements in phonemic hearing, sound analysis, and pronunciation.