Measures of spectral change and their application to habitual, slow, and clear speaking modes

Rosen, Kristin M., Folker, Joanne E., Murdoch, Bruce E., Vogel, Adam P., Cahill, Louise M., Delatycki, Martin B. and Corben, Lousie A. (2011) Measures of spectral change and their application to habitual, slow, and clear speaking modes. International Journal of Speech-Language Pathology, 13 2: 165-173. doi:10.3109/17549507.2011.529939

Author Rosen, Kristin M.
Folker, Joanne E.
Murdoch, Bruce E.
Vogel, Adam P.
Cahill, Louise M.
Delatycki, Martin B.
Corben, Lousie A.
Title Measures of spectral change and their application to habitual, slow, and clear speaking modes
Journal name International Journal of Speech-Language Pathology   Check publisher's open access policy
ISSN 1754-9507
Publication date 2011-04
Sub-type Article (original research)
DOI 10.3109/17549507.2011.529939
Volume 13
Issue 2
Start page 165
End page 173
Total pages 9
Editor Sharynne McLeod
Place of publication Melbourne, VIC, Australia
Publisher Informa Healthcare
Collection year 2012
Language eng
Formatted abstract
Spectral measures are sensitive to dysarthric speech. However, it is unclear whether the spectral differences in dysarthric and healthy speech are due to slow articulation rate or reflect other qualitative changes in speech. Spectral measures were used to detect differences between habitual, slow, and “clear” speaking modes in 12 healthy speakers. Matched t-tests were used to determine differences in the rate and degree of spectral change between the speaking modes. Pearson's correlation coefficients were calculated to assess how well rate of spectral change predicts articulation rate (syllables per second). Clear speech had a significantly higher degree of spectral change than habitual speech, and slow speech had a significantly slower rate of spectral change than habitual and clear speaking modes. These differences occurred in all 12 speakers. The rate of spectral change was correlated with articulation rate across all speakers (range of r = .8–.9 within individual speaking modes) and therefore is a gross predictor of articulation rate. These results suggest that measures of the degree and rate of spectral change together can be used to detect changes between clear, slow, and habitual speaking modes, and hold potential as performance measures.
© 2011 The Speech Pathology Association of Australia Limited
Published by Informa UK, Ltd.

Keyword Acoustics
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2012 Collection
School of Health and Rehabilitation Sciences Publications
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Citation counts: TR Web of Science Citation Count  Cited 7 times in Thomson Reuters Web of Science Article | Citations
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Created: Fri, 25 Feb 2011, 08:40:53 EST by Kathleen Reinhardt on behalf of School of Health & Rehabilitation Sciences