Speech and Mild Cognitive Impairment detection

Authors

  • Charalambos Themistocleous Department of Neurology, Johns Hopkins University, USA; Department of Swedish, University of Gothenburg, Sweden Author
  • Dimitrios Kokkinakis Department of Swedish, University of Gothenburg, Sweden; Centre for Ageing and Health, University of Gothenburg, Sweden Author

DOI:

https://doi.org/10.36505/ExLing-2019/10/0050/000412

Keywords:

Mild Cognitive Impairment, Alzheimer’s disease, speech analysis

Abstract

It is of great importance to detect objective markers that can enable the early and fast identification of individuals with Mild Cognitive Impairment (MCI) from healthy individuals to inform patient care, family, and treatment planning. Connected speech productions can offer such markers. This study analyses recordings from picture description tasks by Swedish individuals with MCI and healthy control individuals (HC) and shows that voice quality, periodicity, and speech rate distinguish individuals with MCI from HC.

 

References

Asgari, M., Kaye, J., & Dodge, H. 2017. Predicting mild cognitive impairment from spontaneous spoken utterances. Alzheimer’s & Dementia: Translational Research & Clinical Interventions, 3, 219–228.

Dodge, H., Mattek, N., Gregor, M., Bowman, M., Seelye, A., Ybarra, O., & Kaye, J. 2015. Social markers of mild cognitive impairment. Current Alzheimer Research, 12(6), 513–519.

Esposito, C.M. 2010. The effects of linguistic experience on the perception of phonation. Journal of Phonetics, 38(2), 306–316.

Fraser, K.C., Meltzer, J.A., Graham, N.L., Leonard, C., Hirst, G., Black, S.E., & Rochon, E. 2014. Automated classification of primary progressive aphasia subtypes from narrative speech transcripts. Cortex, 55, 43-60.

Kokkinakis, D., Lundholm Fors, K., Fraser, K., Eckerström, M., Horn, G., & Themistocleous, C. 2019. A multifaceted corpus for the study of cognitive decline in a Swedish population. In Proceedings of CLARe 4. Helsinki, Finland.

Mitchell, A.J., & Shiri‐Feshki, M. 2009. Rate of progression of mild cognitive impairment to dementia – meta‐analysis of 41 robust inception cohort studies. Acta Psychiatrica Scandinavica, 119(4), 252-265.

Roark, B., Mitchell, M., Hosom, J.P., Hollingshead, K., & Kaye, J. 2011. Spoken language derived measures for detecting mild cognitive impairment. IEEE Transactions on Audio, Speech, and Language Processing, 19(7), 2081-2090.

Satt, A., Hoory, R., König, A., Aalten, P., & Robert, P.H. 2014. Speech-based automatic and robust detection of very early dementia. In Proceedings of the 15th Annual Conference of the International Speech Communication Association (Interspeech 2014).

Slegers, A., Filiou, R.P., Montembeault, M., & Brambati, S.M. 2018. Connected speech features from picture description in Alzheimer’s disease: A systematic review. Journal of Alzheimer's Disease, 65(2), 519–542.

Themistocleous, C., Eckerström, M., & Kokkinakis, D. 2018. Identification of Mild Cognitive Impairment from speech in Swedish using deep sequential neural networks. Frontiers in Neurology, 9, 975.

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Published

01-01-2019

How to Cite

Speech and Mild Cognitive Impairment detection. (2019). Linguistic Proceedings Series, 10(1), 201-204. https://doi.org/10.36505/ExLing-2019/10/0050/000412

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