Prosodic and Linguistic Analysis of Semantic Fluency Data: A Window into Speech Production and Cognition

Maria K. Wolters, Najoung Kim, Jung-Ho Kim, Sarah E. MacPherson, Jong C. Park


Semantic fluency is a commonly used task in psychology that provides data about executive function and semantic memory. Performance on the task is affected by conditions ranging from depression to dementia. The task involves participants naming as many members of a given category (e.g. animals) as possible in sixty seconds. Most of the analyses reported in the literature only rely on word counts and transcribed data, and do not take into account the evidence of utterance planning present in the speech signal. Using data from Korean, we show how prosodic analyses can be combined with computational linguistic analyses of the words produced to provide further insights into the processes involved in producing fluency data. We compare our analyses to an established analysis method for semantic fluency data, manual determination of lexically coherent clusters of words.


DOI: 10.21437/Interspeech.2016-420

Cite as

Wolters, M.K., Kim, N., Kim, J., MacPherson, S.E., Park, J.C. (2016) Prosodic and Linguistic Analysis of Semantic Fluency Data: A Window into Speech Production and Cognition. Proc. Interspeech 2016, 2085-2089.

Bibtex
@inproceedings{Wolters+2016,
author={Maria K. Wolters and Najoung Kim and Jung-Ho Kim and Sarah E. MacPherson and Jong C. Park},
title={Prosodic and Linguistic Analysis of Semantic Fluency Data: A Window into Speech Production and Cognition},
year=2016,
booktitle={Interspeech 2016},
doi={10.21437/Interspeech.2016-420},
url={http://dx.doi.org/10.21437/Interspeech.2016-420},
pages={2085--2089}
}