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ERIC Number: EJ1124071
Record Type: Journal
Publication Date: 2016-Dec
Pages: 12
Abstractor: As Provided
ISSN: ISSN-1092-4388
Recurrence Quantifcation Analysis of Sentence-Level Speech Kinematics
Jackson, Eric S.; Tiede, Mark; Riley, Michael A.; Whalen, D. H.
Journal of Speech, Language, and Hearing Research, v59 n6 p1315-1326 Dec 2016
Purpose: Current approaches to assessing sentence-level speech variability rely on measures that quantify variability across utterances and use normalization procedures that alter raw trajectory data. The current work tests the feasibility of a less restrictive nonlinear approach--recurrence quantification analysis (RQA)--via a procedural example and subsequent analysis of kinematic data. Method: To test the feasibility of RQA, lip aperture (i.e., the Euclidean distance between lip-tracking sensors) was recorded for 21 typically developing adult speakers during production of a simple utterance. The utterance was produced in isolation and in carrier structures differing just in length or in length and complexity. Four RQA indices were calculated: percent recurrence (%REC), percent determinism (%DET), stability (MAXLINE), and stationarity (TREND). Results: Percent determinism (%DET) decreased only for the most linguistically complex sentence; MAXLINE decreased as a function of linguistic complexity but increased for the longer-only sentence; TREND decreased as a function of both length and linguistic complexity. Conclusions: This research note demonstrates the feasibility of using RQA as a tool to compare speech variability across speakers and groups. RQA offers promise as a technique to assess effects of potential stressors (e.g., linguistic or cognitive factors) on the speech production system.
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Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: National Institutes of Health (DHHS); National Science Foundation (NSF)
Authoring Institution: N/A
Grant or Contract Numbers: DC002717; 1513770