Spoken Language Derived Measures for Detecting Mild Cognitive Impairment

• Published in: IEEE transactions on audio, speech, and language processing Vol. 19; no. 7; pp. 2081 - 2090
• Main Authors: Roark, B., Mitchell, M., Hosom, J., Hollingshead, K., Kaye, J.
• Format: Journal Article
• Language: English
• Published: Piscataway, NJ IEEE 01.09.2011; Institute of Electrical and Electronics Engineers
• Subjects: Applied sciences; Biological and medical sciences; Complexity theory; Computerized, statistical medical data processing and models in biomedicine; Dementia; Exact sciences and technology; Forced alignment; Information, signal and communications theory; linguistic complexity; Manuals; Medical management aid. Diagnosis aid; Medical sciences; mild cognitive impairment (MCI); parsing; Pragmatics; Signal processing; Speech; Speech processing; spoken language understanding; Syntactics; Telecommunications and information theory; Human; Performance evaluation; Speech analysis; spoken language understanding; linguistic complexity; mild cognitive impairment (MCI); Syntactic analysis; Complexity measure; parsing; Statistical method; Forced alignment; Automatic measurement; Diagnostic aid; Elderly
• ISSN: 1558-7916; 1558-7924
• DOI: 10.1109/TASL.2011.2112351

Spoken responses produced by subjects during neuropsychological exams can provide diagnostic markers beyond exam performance. In particular, characteristics of the spoken language itself can discriminate between subject groups. We present results on the utility of such markers in discriminating betw...