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Language sample analysis is a valuable instrument in the diagnostics of language disorders in children in addition to more standardized psychometric tests. However, due to its time-consuming workflow that includes manual transcription, annotation and analysis, language sample analysis is not used often in practice.
This project has at its core research into semi-automatic language sample analysis. The focus is on the development and evaluation of a software which can be used to support speech therapists in the diagnostics of language disorders in children.
In a first phase, the goal is to create a corpus with spontaneous speech of children of ages four to six with typical and atypical language development in Swiss German and Standard German. This data is then used to train automatic speech recognition and automatic language sample analysis models. The process targeted is semi-automatic, with a human (i.e., an expert) in the loop.
The prototype of the software is evaluated in the practical field of speech therapy and used to collect further data. In a subsequent phase, the software is used to gain further insights into indicators of developmental language disorder.
May 2023 to June 2025
