Prosodic and linguistic analysis of semantic fluency data: A window into speech production and cognition

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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.
Publisher
International Speech and Communication Association
Issue Date
2016-09
Language
English
Citation

17th Annual Conference of the International Speech Communication Association, INTERSPEECH 2016, pp.2085 - 2089

DOI
10.21437/Interspeech.2016-420
URI
http://hdl.handle.net/10203/228548
Appears in Collection
CS-Conference Papers(학술회의논문)
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