Amulya Sathish will be researching automated spontaneous speech analysis for children with cochlear implants (CI) in the first TALC study exploring the clinical applicability of our software. The project TALC-CI aims to address the challenges faced in assessing language development and therapy outcomes in children with CI. By leveraging cutting-edge technologies such as Automated Speech Recognition (ASR), researchers are developing robust systems capable of accurately transcribing and linguistiscally analysing spontaneous speech samples from children with CI.
Through a combination of quantitative observational studies and qualitative interviews with experienced speech therapists, the project seeks to validate the effectiveness and feasibility of automated speech analysis in clinical practice. Working closely with future endusers the study will research the informativity of automated language sample analyis in CI rehabilitation as well as requirements for a succesfull implementation of this technology into the therapy process.
Collaboration partner of this TALC subproject is the German Hearing Center (Deutsches HörZentrum, DHZ) at the Medical School Hannover (MHH).
We are exited to include the input from our colleagues working in clinical contexts into the development of our TALC tools.