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Relevant bibliographies by topics / Stuttering

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Academic literature on the topic 'Stuttering'

Author: Grafiati

Published: 4 June 2021

Last updated: 30 July 2024

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Journal articles on the topic "Stuttering"

1

Gaines, Natalie D., Charles M. Runyan, and Susan C. Meyers. "A Comparison of Young Stutterers’ Fluent Versus Stuttered Utterances on Measures of Length and Complexity." Journal of Speech, Language, and Hearing Research 34, no. 1 (February 1991): 37–42. http://dx.doi.org/10.1044/jshr.3401.37.

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This investigation attempted to clarify the relationship between stuttering in young children and the language factors of length and grammatical complexity. Sentences containing stutterings within the first few words, as produced by 12 stutterers (4–6 years old) in spontaneous conversational dyads, were analyzed for length and grammatical complexity. Results indicated that sentences in which an episode of stuttering occurred within the first three words were significantly longer and more complex than sentences that were free of perceptible stuttering and all other forms of fluency failure. Implications of these findings for the clinician are presented and discussed.

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Conture, Edward G., Howard D. Schwartz, and David W. Brewer. "Laryngeal Behavior during Stuttering." Journal of Speech, Language, and Hearing Research 28, no. 2 (June 1985): 233–40. http://dx.doi.org/10.1044/jshr.2802.233.

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The purpose of this study was to provide detailed, objective descriptions of stutterers' laryngeal behavior during instances of stuttering within conversational speech. Subjects were 11 adult stutterers who produced stutterings (sound prolongations and sound/syllable repetitions) while their laryngeal behaviors were observed by means of a flexible fiber-optic nasolaryngoscope (fiberscope). Laryngeal behaviors during 86 of the 11 stutterers' stutterings were categorized as adducted, intermediate, or abducted. Results indicate that during sound prolongations the vocal folds were more likely to be adducted and less variable in their movement than during sound/syllable repetitions. Results further indicated that the voicing characteristics of the stuttered sound (voiceless vs. voiced) and the type of stuttering (sound prolongation vs. sound/syllable repetition) interactively influenced laryngeal behavior. It is hypothesized that a complex interaction among the laryngeal, articulatory, and respiratory systems contribute to the occurrence of the inappropriate abductory and/or adductory laryngeal behavior which characterizes prolonged or repeated (stuttered) speech segments.

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Rich, B. Ruby. "Stuttering Cinema, Stuttering Democracy, Stuttering Globalism." Film Quarterly 75, no. 1 (2021): 5–9. http://dx.doi.org/10.1525/fq.2021.75.1.5.

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Schwartz, Howard D., and Edward G. Conture. "Subgrouping Young Stutterers." Journal of Speech, Language, and Hearing Research 31, no. 1 (March 1988): 62–71. http://dx.doi.org/10.1044/jshr.3101.62.

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The purpose of this investigation was to identify speech and nonspeech behaviors associated with stuttering of young persons and to use these behaviors in attempts to discern and describe subgroups of these individuals. Forty-three young stutterers (10 girls and 33 boys) produced stutterings and associated behaviors during conversations that were video/audio recorded. Fourteen associated speech and nonspeech behaviors and speech disfluency types were identified and quantified for 10 stutterings from each of the 43 subjects. The 14 associated behaviors and speech disfluency types were further reduced to form three related indices: (a) Sound Prolongation Index, (b) Nonspeech Behavior Index, and (c) Behavioral Variety Index. Results indicated that five subgroups of young stutterers could be identified and described on the basis of these youngsters' number and variety of speech and nonspeech behaviors associated with their stuttering. Findings are taken to suggest that these speech and nonspeeeh behavioral differences reflect differences in young stutterers' reactions and adjustments to their problem.

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Van Borsel, John, and Caroline Taillieu. "Neurogenic stuttering versus developmental stuttering." Journal of Communication Disorders 34, no. 5 (September 2001): 385–95. http://dx.doi.org/10.1016/s0021-9924(01)00057-0.

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Brady, John Paul, and Moira Rynn. "Stuttering." CNS Drugs 1, no. 4 (April 1994): 263–68. http://dx.doi.org/10.2165/00023210-199401040-00004.

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Leung, Alexander K. C., and Lane M. Robson. "Stuttering." Clinical Pediatrics 29, no. 9 (September 1990): 498–502. http://dx.doi.org/10.1177/000992289002900901.

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Conture, Edward, and Lesley Wolk. "Stuttering." Seminars in Speech and Language 11, no. 03 (August 1990): 200–211. http://dx.doi.org/10.1055/s-2008-1064253.

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Castiglia, Patricia T. "Stuttering." Journal of Pediatric Health Care 7, no. 6 (November 1993): 275–77. http://dx.doi.org/10.1016/s0891-5245(06)80009-x.

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Newman, Byron Y. "Stuttering." Optometry - Journal of the American Optometric Association 80, no. 6 (June 2009): 280–81. http://dx.doi.org/10.1016/j.optm.2009.03.008.

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Dissertations / Theses on the topic "Stuttering"

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Swartz, Eric R. "COPING WITH STUTTERING." Bowling Green State University / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1294387034.

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Teich, Brenda Pekkola. "Differentially diagnosing stuttering in young children using the Stuttering severity instrument." PDXScholar, 1990. https://pdxscholar.library.pdx.edu/open_access_etds/4135.

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Young children between the ages of two and six years often exhibit partword, whole word. and phrases repetitions as their language develops. This is also the age range when stutterertng most frequently appears. Consequently. speech-language pathologists need diagnostic criteria and evaluation tools to distinguish between the incipient stutterer and the normally disfluent child. Today a widely used evaluation tool is the Stuttering Severity Instrument (SSI) (Riley, 1972, 1980). The SSI is designed to provide a severity level based upon the parameters of frequency. duration. and physical concomitants. Riley (1972) first designed the SSI to not include monosyllabic word repetitions in the frequency count: however. he revised the SSI in 1980 to include monosyllabic word repetitions without providing new normative data nor standardization. It was questionable as to whether the SSI was a sufficiently sensitive means to determine stuttering severity for young children and to whether or not it was strengthened or weakened by the addition of whole monosyllabic words.

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Karimi, Hamid. "Issues with Stuttering Measurement." Thesis, The University of Sydney, 2014. http://hdl.handle.net/2123/9956.

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Introduction Percent syllables stuttered (%SS) and severity rating (SR) scales are simple measures in common use by researchers and clinicians to quantify stuttering severity. This study aimed to investigate (1) whether a 10-minute unscheduled telephone call – in the form that have been frequently used in stuttering clinical trials – is representative of a whole day speech sample, (2) the variability of stuttering frequency across an entire day, (3) the relative and absolute reliability of %SS and SR scales, and (4) the relationship between %SS and SR scores. Method The speech of 10 adults who stutter (AWS) recorded for a 12-hour day during different speaking activities and during an unscheduled telephone call. %SS for the entire day was compared to the %SS of the unscheduled telephone call. The Statistical process control chart was used to explore the variability of %SS across the entire day. For the second study, 87 AWS received a 10 minute unscheduled telephone call and their %SS and SR were measured by three experienced judges. The absolute and relative reliability between judges for each of the measures were measured. Results No significant differences were found between %SS of the study day and the unscheduled telephone calls. According to control charts, the %SS scores of half the participants were indicative of unpredictable, out of control systems, and the %SS scores of the other half of the participants were not. Relative reliability was satisfactory for both %SS and SR scales, but absolute reliability was poor. Conclusion The appropriateness of measuring %SS from an unscheduled telephone call in stuttering clinical trials was approved. However, such a speech sample failed to reveal variations of stuttering frequency during different speech tasks. %SS and SR scales can be used in clinical research dealing with changes of participant groups. However, these measures are not capable of evaluating small changes within individual participants.

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Arnstein, Dan Lackey Brian. "Preverbal error-monitoring in stutterers an electrophysiological investigation of the vicious cycle hypothesis /." Diss., Connect to the thesis, 2009. http://hdl.handle.net/10066/3584.

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Harrington, J. "The phonetic analysis of stuttering." Thesis, University of Cambridge, 1985. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.377223.

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Lau, Lai-yi Kitty. "Listeners' perception of stuttering in Cantonese." Click to view the E-thesis via HKUTO, 1994. http://sunzi.lib.hku.hk/hkuto/record/B36208942.

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Thesis (B.Sc)--University of Hong Kong, 1994.
"A dissertation submitted in partial fulfilment of the requirements for the Bachelor of Science (Speech and Hearing Sciences), The University of Hong Kong, 29th April, 1994." Also available in print.

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Paun, Dimitrie Octavian. "Closure under stuttering in temporal formulas." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape7/PQDD_0001/MQ46208.pdf.

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Lee, Amanda Savio. "Communication Behaviour in Adults with Stuttering." Thesis, University of Canterbury. Department of Communication Disorders, 2014. http://hdl.handle.net/10092/9466.

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Purpose: Adults with stuttering (AWS) commonly demonstrate verbal avoidance behaviours as a result of speech-related anxiety. This can result in an experience of ‘communication restriction’. By nature, verbal avoidance and communication restriction are difficult to evaluate objectively, and existing evidence consists primarily of self-report data from qualitative interviews. However, recent preliminary evidence indicates the potential utility of systemic functional linguistics (SFL; Halliday, 1985) to this area of research. The SFL framework provides quantitative analyses for the objective examination of language use in sociolinguistic contexts. Recent data also suggest that the confrontation naming paradigm may be a second possible means for quantitatively evaluating aspects of functional linguistic behaviour in AWS. The purpose of the present study was to identify specific patterns of conversational language and confrontation naming behaviour in AWS using an objective methodology, and to explore these behaviours within the context of stuttering intervention and with reference to the experience of communication restriction. Method: Twenty AWS (14 males, 6 females) and 20 matched controls (AWNS), aged between 16 and 56 years, were recruited for this study. All participants were native speakers of English with no cognitive, language, motor speech, or hearing impairment (with the exception of stuttering in AWS). All participants completed: (a) self-rating scales of general and communication-related attitudes and anxiety; (b) the UC Picture ID (O’Beirne, 2011) picture naming task, designed to objectively evaluate verbal avoidance behaviour; and (c) 10 minutes of spontaneous conversation with an examiner, loosely structured around a range of set topics. For the AWS participants, these procedures were completed pre- and post-attendance at either the Naturalness Intensive Programme in Christchurch, New Zealand (NZ), or the Intensive Stuttering Clinic (Blomgren, 2009) in Salt Lake City, USA (US). All conversational samples were analysed using both conventional and SFL-based analyses. Specifically, the quantity and complexity of verbal output, as well as the frequency of use of transitivity, modality, appraisal, and thematic resources, were examined. To identify group differences on all measures between AWNS and AWS at both pre- and post-treatment, two-tailed independent samples t-tests and Mann-Whitney U-tests were conducted. To compare the performance of AWS between pre- and post-treatment, two-tailed paired t-tests and Wilcoxon matched pairs signed ranks tests were used. Group comparisons were conducted for the full participant group, as well as separately for the NZ and US subgroups. Pearson correlation matrices were also constructed, to identify linear relationships between measures. Correlations between conventional and SFL analyses of linguistic behaviour were of particular interest. Results: Group differences for each subgroup were generally consistent with those for the full participant group. (a) AWS demonstrated higher social anxiety than AWNS at pre-treatment, but self-reported anxiety levels and stuttering impact decreased following treatment. (b) No differences were found across comparisons for confrontation naming performance on the UC Picture ID task. (c) In conversation, AWS produced consistently less language than AWNS, and produced less complex language than AWNS at pre-treatment, as shown by conventional and SFL indices. Specific SFL measures revealed fewer politeness-marking modal operators, more frequent comment adjuncts, and reduced expression of appraisal in the spontaneous language of AWS. Improvements in most of these areas were seen following treatment. The results of the correlational analyses showed that self-report scale outcomes were not linearly correlated to actual performance on any linguistic measures. However, positive correlations were observed between basic linguistic indices (i.e., language productivity and complexity) from the conventional and SFL approaches. An interesting negative correlation between language productivity and frequency of use of comment adjuncts was also seen. Conclusions: The current study extends available preliminary evidence on language use in AWS. Linguistic patterns identified in the conversational language of AWS suggest a reduced openness to interpersonal engagement within communication exchanges, which may restrict the experience of such exchanges. The data indicate that conventional and SFL analyses are interchangeable at a basic level, but also exemplify the unique utility of the SFL framework for examining specific aspects of language functionality within social context. Although AWS and AWNS were not found to differ in performance on the UC Picture ID task, the observations provide insight into the conditions under which verbal avoidance behaviours may be prone to occurring. Finally, the lack of straightforward correlations between self-reported anxiety and avoidance on the one hand, and various linguistic-behavioural indicators on the other, highlights the importance of a multidimensional, holistic approach to clinical stuttering evaluation.

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Connally, Emily L. "The neurobiological underpinnings of developmental stuttering." Thesis, University of Oxford, 2017. https://ora.ox.ac.uk/objects/uuid:249fc3eb-81a0-4cc6-a613-af6d9ba79860.

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The aim of this thesis was to investigate the neural underpinnings of persistent developmental stuttering. We explored neural systems important for speech-motor integration and focused on subcortical control systems: the basal ganglia and cerebellum. A secondary aim of this work was to distinguish effects related to general traits of the disorder from those reflecting specific states of stuttered speech. To address these aims we used a variety of neuroimaging methodologies as well as an extensive neuropsychological and empirical test battery. Our examination of neural pathway microstructure using diffusion-tensor imaging replicated previous findings of widespread disorganisation of white matter in people who stutter. This disruption included all major white matter pathways leading in and out of the cerebellum. In our second, third, and fourth studies we examined functional activity at rest and during different types of speech. The brain networks used by people who stutter and controls largely overlapped. The brain regions that distinguished general traits and specific states of stuttering were somewhat task-specific. Subcortical activation in the basal ganglia and cerebellum was related to the frequency of dysfluent speech in the scanner. In our final study we examined performance on a variety of classical tasks of motor learning. We observed evidence of delayed learning in response to changes in environmental feedback in the stuttering group relative to controls. Within people who stutter, subgroups who differ according to heritability of the disorder may also differ in the balance of dopamine in the basal ganglia. Overall, we concluded that cerebellar alterations contribute to the general trait of stuttering, while basal ganglia disruption may reflect specific effects within stuttering. Our work supports a broader role of the subcortical system in speech production, generally.

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De, Nardo Thales. "Acceptance of Stuttering and its Correlates." Bowling Green State University / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1300738843.

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Books on the topic "Stuttering"

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National Institute on Deafness and Other Communication Disorders (U.S.). Stuttering. Bethesda, MD: U.S. Dept. of Health & Human Services, National Institutes of Health, National Institute on Deafness and Other Communication Disorders, 2010.

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Janet, Givens-Ackerman, ed. Stuttering. Austin, Tex: PRO-ED, 1996.

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F, Schwartz Martin. Stop stuttering. New York: Harper & Row, 1986.

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Schwartz, Martin F. Stop stuttering. Toronto: Fitzhenry & Whiteside, 1986.

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H, Perkins William. Stuttering prevented. San Diego, Calif: Singular Pub. Group, 1992.

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Lavid, Nathan. Understanding stuttering. Jackson: University Press of Mississippi, 2003.

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Williams, Dale F. Stuttering Perspectives. 2nd ed. New York: Routledge, 2023. http://dx.doi.org/10.4324/9781003182405.

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Davis, Atticus. Dumb stuttering free. Portland, Oregon]: Bedouin Books, 2012.

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Charles, Healey E., ed. Readings in stuttering. New York: Longman, 1986.

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Einer, Boberg, and Banff International Conference on Stuttering (3rd : 1989), eds. Neuropsychology of stuttering. Edmonton, Alta: University of Alberta Press, 1993.

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Book chapters on the topic "Stuttering"

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Ingham, Roger J. "Stuttering." In International Handbook of Behavior Modification and Therapy, 599–631. Boston, MA: Springer US, 1990. http://dx.doi.org/10.1007/978-1-4613-0523-1_29.

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Viswanath, Nagalapura S. "Stuttering." In Encyclopedia of Evolutionary Psychological Science, 1–3. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-16999-6_3345-1.

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Rosenfield, David B., and Harvey B. Nudelman. "Stuttering." In Speech and Language, 68. Boston, MA: Birkhäuser Boston, 1989. http://dx.doi.org/10.1007/978-1-4899-6774-9_30.

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Vandenberg, Steven G., Sandra Manes Singer, and David L. Pauls. "Stuttering." In The Heredity of Behavior Disorders in Adults and Children, 231–35. Boston, MA: Springer US, 1986. http://dx.doi.org/10.1007/978-1-4684-5071-2_16.

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Simmons, Elizabeth Schoen. "Stuttering." In Encyclopedia of Autism Spectrum Disorders, 1. New York, NY: Springer New York, 2017. http://dx.doi.org/10.1007/978-1-4614-6435-8_990-3.

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Shrivats, Chandrabanu, and Kimberly Booker. "Stuttering." In Encyclopedia of Child Behavior and Development, 1456–57. Boston, MA: Springer US, 2011. http://dx.doi.org/10.1007/978-0-387-79061-9_2829.

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Simmons, Elizabeth Schoen. "Stuttering." In Encyclopedia of Autism Spectrum Disorders, 3021–22. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-1698-3_990.

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Bray, Melissa A., and Thomas J. Kehle. "Stuttering." In Health-related disorders in children and adolescents: A guidebook for understanding and educating., 629–35. Washington: American Psychological Association, 1998. http://dx.doi.org/10.1037/10300-088.

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Blood, Gordon W. "Stuttering." In Child Behavior Therapy Casebook, 165–77. Boston, MA: Springer US, 1988. http://dx.doi.org/10.1007/978-1-4613-0993-2_13.

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Schoen Simmons, Elizabeth. "Stuttering." In Encyclopedia of Autism Spectrum Disorders, 4659. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-319-91280-6_990.

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Conference papers on the topic "Stuttering"

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Sharma, Arpit. "Stuttering for Markov Automata." In 2019 International Symposium on Theoretical Aspects of Software Engineering (TASE). IEEE, 2019. http://dx.doi.org/10.1109/tase.2019.000-7.

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Demarin, Iva, Ljubica Leko, Maja Škrobo, Helena Germano, Patrícia Macedo, and Rui Neves Madeira. "The Impact of Stuttering;." In the 17th International ACM SIGACCESS Conference. New York, New York, USA: ACM Press, 2015. http://dx.doi.org/10.1145/2700648.2811389.

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Falk, Simone, and Elena Maslow. "Song and speech prosody influences VOT in stuttering and non-stuttering adolescents." In 7th International Conference on Speech Prosody 2014. ISCA: ISCA, 2014. http://dx.doi.org/10.21437/speechprosody.2014-156.

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Smolka, Elzbieta. "Visual feedback in stuttering therapy." In Optoelectronic and Electronic Sensors II, edited by Zdzislaw Jankiewicz and Henryk Madura. SPIE, 1997. http://dx.doi.org/10.1117/12.266715.

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Nejati, S., A. Gurfinkel, and M. Chechik. "Stuttering abstraction for model checking." In Third IEEE International Conference on Software Engineering and Formal Methods (SEFM'05). IEEE, 2005. http://dx.doi.org/10.1109/sefm.2005.44.

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Couto, M. C. H., C. M. C. Oliveira, and L. Pinato. "Impact of Sleep on Stuttering." In XIX Congresso Brasileiro do Sono. Thieme Revinter Publicações Ltda., 2023. http://dx.doi.org/10.1055/s-0043-1770224.

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Scott, Thomas, and Naeem Seliya. "Stuttering Prediction With Machine Learning." In 2023 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE). IEEE, 2023. http://dx.doi.org/10.1109/csde59766.2023.10487687.

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Fassetti, Fabio, Ilaria Fassetti, and Simona Nisticò. "Stream analysis for detecting stuttering episodes." In 10th International Conference of Experimental Linguistics. ExLing Society, 2019. http://dx.doi.org/10.36505/exling-2019/10/0019/000381.

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Savinova, N. V. "On the problem of stuttering correction." In PRIORITY SCIENTIFIC DEVELOPMENTS IN PEDAGOGY AND PSYCHOLOGY. Baltija Publishing, 2023. http://dx.doi.org/10.30525/978-9934-26-366-8-38.

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Yu, Yongzi, Wanyong Qiu, Chen Quan, Kun Qian, Zhihua Wang, Yu Ma, Bin Hu, Björn W. Schuller, and Yoshiharu Yamamoto. "Federated Intelligent Terminals Facilitate Stuttering Monitoring." In ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2023. http://dx.doi.org/10.1109/icassp49357.2023.10097263.

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Reports on the topic "Stuttering"

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Teich, Brenda. Differentially diagnosing stuttering in young children using the Stuttering severity instrument. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.6018.

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Stork, Dena. The value of the SPI in forecasting chronic stuttering. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.6168.

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Young, Janice. Temporal Characteristics of Words Surrounding a Moment of Stuttering. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.6766.

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Kimball, Carol. Recovery from Stuttering in a Sample of Elementary School Children. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.2253.

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Prichard, Sarah. The structuring of procedures utilized in an adult stuttering treatment program. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.1469.

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Peterson, Jennifer. A Study of the Duration of Words Surrounding a Moment of Stuttering. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.6835.

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Carnese, Teresa. A comparison of the clinician-client interactions in urban language and stuttering clinics. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.1157.

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Lilly, Gregory. Temporal Characteristics of Words Surrounding a Moment of Stuttering in Preschool-age Children. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.7127.

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Staines, Dennis. The effect of labeling disfluencies as 'stuttering' and contingent and yoked "wrong" on the disfluencies of normal speakers. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.1430.

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Mathew, Karen. An analysis of the relationship between the degree of maintained fluency improvement of former Portland State University stuttering clients and the overall language themes they used. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.3058.

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