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DHB: Measuring spoken language variability in elderly individuals
This is a current project.
Description
The focus of this project is to develop techniques to objectively measure spoken language variability and change in aging. Many of the most effective methods for cognitive assessment are mediated by observed behavior, particularly spoken language production. A particular challenge being addressed by this research is to achieve high-quality, efficient automatic annotation of discourse structure for the spoken language samples. The resulting methods are expected to directly contribute to important behavioral assessment applications.
This project has three specific aims:
1) to collect and transcribe longitudinal spoken language sample data elicited in multiple ways from diverse elderly adults;
2) to develop algorithms for automatically extracting features from these spoken language samples;
3) to characterize the variability of feature values across samples of the same individual.
Project Administration
Susan Kemper, principal investigator
Project Contact
Susan Kemper, Ph.D.,
Senior Scientist
Gerontology Center
3090 Dole Human Development Center
1000 Sunnyside Avenue
Lawrence, KS 66045-7555
skemper@ku.edu
785-864-4570 (phone)
785-8642666 (fax)
This is a project of:
In collaboration with:
Oregon Health and Science University
Funded by:
National Science Foundation (NSF)
Send corrections/comments/questions to lifespan@ku.edu
