Keyword: «speech diagnostics»

The article examines the features of applying artificial intelligence (AI) technologies in speech therapy practice aimed at correcting speech sound production in older preschool-aged children. A theoretical analysis of domestic research on the integration of AI into speech therapy diagnostics and intervention is presented. The role of the speech therapist as a coordinator of the digital speech environment is emphasized. In the empirical section, the results of speech sound diagnostics for 14 children are detailed, utilizing an adapted sound recording chart to systematize types of disorders and construct speech profiles. The study identified the states of sound production (absence, distortion, substitution) and their specific characteristics. The conclusion highlights the potential of AI as a tool for improving the individualization, effectiveness, and accessibility of speech correction.