AI-Based Speech Intelligibility Assessment: Efficacy & Reliability

Clinical Study on the Efficacy and Reliability of Speech Intelligibility Assessment for Post-stroke Patients Using an AI Solution

compare the auditory-perceptual assessment conducted by speech-language pathologists using the U-TAP with the assessment performed via the AI solution (Blings) program in patients with speech disorders, and to evaluate the efficacy and reliability of these two methods for speech intelligibility assessment.

Inclusion Criteria:

• Adults aged 18 years or older.
• Patients with neurologic disorders, including amyotrophic lateral sclerosis, poliomyelitis, cerebellar disorders, cerebellar lesions, and stroke.
• Patients presenting with concomitant speech disorders, such as dysarthria, motor speech disorders, and voice disorders.

Exclusion Criteria:

• Subjects with a score of less than 16 points on the Korean Mini-Mental State Examination (K-MMSE).
• Subjects with visual, perceptual, or auditory impairments that prevent them from following the examiner's instructions.
• Subjects judged by the researcher as unsuitable for participation in this clinical study due to other reasons.