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Automated speech an...
Automated speech analysis improves MCI diagnosis
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Themistocleous, Charalambos, 1980 (författare)
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- Eckerström, Marie, 1981 (författare)
- Gothenburg University,Göteborgs universitet,Institutionen för neurovetenskap och fysiologi,Institute of Neuroscience and Physiology
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- Kokkinakis, Dimitrios, 1965 (författare)
- Gothenburg University,Göteborgs universitet,Centrum för åldrande och hälsa (AgeCap),Institutionen för svenska språket,Centre for Ageing and Health (Agecap),Department of Swedish
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(creator_code:org_t)
- 2020
- 2020
- Engelska.
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Ingår i: Proceedings of the 11th Experimental Linguistics Conference (ExLing). - 2529-1092.
- Relaterad länk:
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https://gup.ub.gu.se...
Abstract
Ämnesord
Stäng
- Mild Cognitive Impairment (MCI) is a condition characterized by cognitive decline greater than expected for an individual's age and education level. In this study, we are investigating whether acoustic properties of speech production can improve the classification of individuals with MCI from healthy controls augmenting the Mini Mental State Examination, a traditional screening tool, with automatically extracted acoustic information. We found that just one acoustic feature, can improve the AUC score (measuring a trade-off between sensitivity and specificity) from 0.77 to 0.89 in a boosting classification task. These preliminary results suggest that computerized language analysis can improve the accuracy of traditional screening tools
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Språkteknologi (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Language Technology (hsv//eng)
Nyckelord
- acoustic analysis
- machine learning
- cognitive impairment
- MMSE
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)
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