The relationship between acoustic indices of speech motor control variability and other measures of speech performance in dysarthria

Frits Van Brenk, Anja Lowit

Research output: Contribution to journalArticle

Abstract

Previous studies suggested that variability indices based on information extracted from the acoustic signal are potentially useful in assessing dysarthric speech. Because of the ease of data collection, this method is especially applicable in the clinical setting. This study assessed the relationship between variability indices of sentence repetitions obtained by Functional Data Analysis with intelligibility ratings and maximum performance tasks in groups of speakers with hypokinetic dysarthria and ataxic dysarthria. The results showed significant correlations between selected parameters, which varied with dysarthria type. For the speakers with ataxic dysarthria, the variability measure mainly reflected differences in intelligibility, while for the group with hypokinetic dysarthria, there was a stronger relationship between variability indices and DDK performance. Lack of stronger correlations between variability measures and intelligibility ratings and maximum performance tasks are possibly due to heterogeneity of severity across and within speaker groups. This study provides further evidence that variability measures such as the FDA might be sensitive to speech performance of speakers with dysarthria, and can potentially differentiate between dysarthria types.
LanguageEnglish
Pages24–29
Number of pages6
JournalJournal of Medical Speech Language Pathology
Volume20
Issue number4
Publication statusPublished - Dec 2012

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Speech Acoustics
Dysarthria
Task Performance and Analysis
Acoustics

Keywords

  • language therapy
  • speech therapy
  • speech motor control
  • dysarthria

Cite this

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title = "The relationship between acoustic indices of speech motor control variability and other measures of speech performance in dysarthria",
abstract = "Previous studies suggested that variability indices based on information extracted from the acoustic signal are potentially useful in assessing dysarthric speech. Because of the ease of data collection, this method is especially applicable in the clinical setting. This study assessed the relationship between variability indices of sentence repetitions obtained by Functional Data Analysis with intelligibility ratings and maximum performance tasks in groups of speakers with hypokinetic dysarthria and ataxic dysarthria. The results showed significant correlations between selected parameters, which varied with dysarthria type. For the speakers with ataxic dysarthria, the variability measure mainly reflected differences in intelligibility, while for the group with hypokinetic dysarthria, there was a stronger relationship between variability indices and DDK performance. Lack of stronger correlations between variability measures and intelligibility ratings and maximum performance tasks are possibly due to heterogeneity of severity across and within speaker groups. This study provides further evidence that variability measures such as the FDA might be sensitive to speech performance of speakers with dysarthria, and can potentially differentiate between dysarthria types.",
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