AI-Powered Language Analysis for Children's Speech
NLP Solutions for More Efficient Developmental Language Assessments
This research introduces DigiSpon, a novel approach using NLP methods to automate and enhance language sample analysis for diagnosing developmental language disorders in children.
- Leverages non-commercial NLP solutions to analyze transcribed speech from 119 Swiss children
- Significantly reduces the time-intensive manual work required by speech-language pathologists
- Demonstrates effective automatic extraction of key linguistic features to support clinical diagnosis
- Provides a benchmarking framework for future NLP applications in pediatric speech assessment
Clinical Impact: By making language sample analysis more efficient and accessible, this technology could dramatically improve early detection and intervention for developmental language disorders, leading to better outcomes for affected children.