Abstract

Children with communication disorders often face the challenge that those around them cannot understand them. One specific form of communication disorder is dysarthric speech, which is characterized by a slow speaking rate and that certain articulatory targets are not fully reached (e.g., a /k/ pronounced as /g/). We are currently developing an automatic speech recognition system (ASR) for dysarthric child speech, allowing the generation of a verbal ranscription. The aim of this thesis now is to integrate the output of the ASR into the learning environment used at school, so that the child can fill out excercise sheets for school using his/her voice in the future.

Your Tasks

• literature review into software development of learning environments
• making a prototype of the software for one type of excercise sheet
• assessing the usability of the prototype with the child, its family and the support teacher
• adapting the assistive tool according to the feedback

Your Profile

• good knowledge of programming
• good knowledge of HCI evaluation criteri
• interest in working with children is a plus

Contact

Barbara Schuppler (b.schuppler@tugraz.at)