Automated scoring of speech audiometry for cochlear implant listeners using artificial intelligence and flexible grading methods
This project explores the use of Automatic Speech Recognition (ASR) models to transcribe and score open-set speech audiometry responses from cochlear implant users, demonstrating that ASR models can approximate benchmark scores while significantly reducing transcription time.