The purpose of this study was to determine if the speech of adults who self-judged that they were recovered from stuttering without the assistance of treatment is perceptually different from that of adults who never stuttered. Fifteen adult speakers verified as persons who had recovered from a valid stuttering problem without the assistance of treatment were compared with 15 adult speakers verified as persons with normally fluent speech. Judges viewed videotaped speech samples of all speakers and were instructed to decide whether a speaker used to stutter or never stuttered. A separate group of judges rated the same samples for speech naturalness. Various speech behavior measures were also obtained. Results revealed that the speech of speakers who used to stutter was perceptually different from that of speakers who never stuttered. This difference was correlated with unnatural sounding speech and a high frequency of part-word repetitions.
The efficacy of stuttering treatment has been a contentious issue in recent years. Two issues of primary concern include the treated stutterer’s abnormal speech quality and the problem of continually self-monitoring fluency skills. One approach to addressing these issues is to obtain stutterers’ self-ratings of speech quality and levels of speech monitoring. However, the reliability and validity of such self-ratings need to be assessed before they are suitable for use in stuttering treatment. The present study investigated one method of estimating the reliability and validity of stutterers’ self-ratings of how natural their speech sounds (speech naturalness), and how natural they feel about the amount of attention they are paying to the way they are speaking (feel naturalness). Twelve adult stutterers were instructed to self-rate the speech and feel naturalness of their speech under a variety of rhythmic stimulation conditions across repeated rating occasions. With some qualifications, the results showed that stutterers were relatively consistent and valid self-raters of speech quality and levels of speech monitoring.
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