Article

The influence of phonetic complexity on stuttered speech

Department of Communication Sciences and Disorders, The University of Texas at Austin, 78759, USA.
Clinical Linguistics & Phonetics (Impact Factor: 0.58). 07/2012; 26(7):646-59. DOI: 10.3109/02699206.2012.682696
Source: PubMed

ABSTRACT

The primary purpose of this study was to re-examine the influence of phonetic complexity on stuttering in young children through the use of the Word Complexity Measure (WCM). Parent-child conversations were transcribed for 14 children who stutter (mean age = 3 years, 7 months; SD = 11.20 months). Lexical and linguistic factors were accounted for during the analysis. Results indicate that phonetic complexity, as measured by WCM, did not exhibit a significant influence on the likelihood of stuttering. Findings support previous data that suggest stuttering in preschool-age children does not appear significantly related to phonetic complexity of the production.

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Available from: Courtney Timpson Byrd, Aug 28, 2014
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    • "Participants, classification, inclusion criteria, data collection, transcription protocol and coding procedure in this study were similar to that of Coalson et al. (2012) and are provided for ease of understanding and replication. However, two major distinctions from this previous study exist: (a) accounting for utterance position by restriction of data set, rather than as an independent predictor variable, and (b) analysis of the second word in the utterance relative to the fluency of the preceding word, rather than each stuttered word in isolation to assess the specific predictions of the EXPLAN model. "
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    ABSTRACT: Purpose: The purpose of the present study was to analyze phonetic complexity in the speech of children who stutter in a manner distinct from previous research with specific emphasis on three methodological considerations: (1) analysis of the word immediately following the initial word in the utterance; (2) accounting for other additional linguistic and lexical factors; and (3) discrimination of disfluency types produced. Methods: Parent–child conversations were transcribed for 14 children who stutter (mean age = 3 years, 7 months; SD = 11.20 months) and coded for phonetic complexity using the Word Complexity Measure (WCM). Phonetic complexity of words immediately following the initial fluent or stuttered words of an utterance were included within binomial regression analyses, along with additional linguistic and lexical factors. Results: Analyses indicate that the phonetic complexity of the second word of an utterance was not a significant contributor to the likelihood of whole-or part-word repetitions on the preceding initial word of the utterance. Conclusion: Findings support previous data that suggest the phonetic complexity of speech, at least as measured by the WCM, does not distinctly influence stuttered speech in preschool-age children. Educational Objectives: Readers will be able to (a) describe the impact of phonetic complexity on the fluency of the preceding word in preschool-aged children, (b) summarize the findings within the context of the EXPLAN model, and (c) discuss the potential role of phonetic complexity, if any, during moments of stuttered speech. Published by Elsevier Inc.
    Full-text · Article · Nov 2015 · Journal of Fluency Disorders
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    ABSTRACT: The Index of Phonological Complexity and the Word Complexity Measure are two measures of the phonological complexity of a word. Other phonological measures such as phonological neighborhood density have been used to compare stuttered versus fluent words. It appears that in preschoolers who stutter, the length and complexity of the utterance is more influential than the phonetic features of the stuttered word. The present hypothesis was that in school-age children who stutter, stuttered words would be more phonologically complex than fluent words, when the length and complexity of the utterance containing them is comparable. School-age speakers who stutter were hypothesized to differ from those with a concomitant language disorder.
    No preview · Article · Nov 2014 · Journal of Fluency Disorders
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    ABSTRACT: The purpose of this study was to explore metrical aspects of phonological encoding (i.e., stress and syllable boundary assignment) in adults who do and do not stutter (AWS, AWNS). Participants monitored nonwords for target sounds during silent phoneme monitoring tasks across two distinct experiments. For Experiment 1, 22 participants (11 AWNS, 11 AWS) silently monitored target phonemes in nonwords with initial stress. For Experiment 2, an additional cohort of 22 participants (11 AWNS, 11 AWS) silently monitored phonemes in nonwords with non-initial stress. In Experiment 1, AWNS and AWS silently monitored target phonemes in initial stress stimuli with similar speed and accuracy. In Experiment 2, AWS demonstrated a within-group effect that was not present for the AWNS. They required additional time when monitoring phonemes immediately following syllable boundary assignment in stimuli with non-initial stress. There was also a between group effect with AWS exhibiting significantly greater errors identifying phonemes in nonwords with non-initial stress than AWNS. Findings suggest metrical properties may impact the time course of phonological encoding in AWS in a manner distinct from AWNS. Specifically, in the absence of initial stress, metrical encoding of the syllable boundary may delay speech planning in AWS and contribute to breakdowns in fluent speech production.
    Full-text · Article · Feb 2015 · Journal of Speech Language and Hearing Research
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