An Automated System for Sound Localization Testing in Hearing-Impaired Listeners

Seung-Ik Jeon1, Ji-Hyun Lee2, Ji-Hye Han2

  • 1Laboratory of Hearing, Balance and Integrated Neuroscience (HBIN), Hallym University College of Medicine; Ear and Interaction Center, Doheun Institute for Digital Innovation in Medicine (D.I.D.I.M.), Hallym University Medical Center; Department of Speech Pathology and Audiology, Graduate School, Hallym University.

Summary

A new automated protocol improves sound localization assessment for hearing impairments. This system translates localization errors into clinically meaningful categories using the International Classification of Functioning, Disability and Health framework.