Computerized Based Analysis for Detection and Severity Assessment of Stuttering
NCT ID: NCT05437627
Last Updated: 2022-06-29
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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UNKNOWN
120 participants
OBSERVATIONAL
2022-09-01
2024-10-01
Brief Summary
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Detailed Description
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An Arabic version of stuttering severity instrument (A-SSI) is used to assess the stuttering severity In it, the overall severity score of stuttering is measured by combining the scores of percentages of Stuttered Syllables (%SS), Mean Duration of the Three Longest Stuttering Events (MDTLSE), and Physical Concomitants (PC) (3).
The subjective assessment methods of stuttering are; time-consuming, prone to error, subjective (4), so it is better to automate the measurement of disfluencies using speech recognition technologies and computational intelligence (5).
Speech recognition executes a task similar to what the human brain undertakes (6). Stuttering detection system has three main steps which are acoustic processing, feature extraction and classification/recognition (7). the speech signals are pre-processed (8), and certain features are extracted from them by signal processing techniques, e.g. Mell frequency cepstral coefficients (MFCC) (9). (MFCC) is considered the most popular used feature extraction technique (10).
The classification process contains two steps; training and testing (11). In training process, data is labeled based on the classes and a model is learned. In testing phase: the model is tested and computed the accuracy, sensitivity, and specificity of the classification models (11). Finally, stuttering from non-stuttering speech will be recognized and separated (5) also to assess the severity of stuttered speech.
Conditions
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Study Design
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CASE_CONTROL
PROSPECTIVE
Study Groups
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Study Group:
Study Group: This will be consisted of sixty (60) stuttering patients. They will be divided into 2 subgroups; children group 30 patients with age ranges from (10-18y) and adult group 30 patients with age ranges from (19-30y)
The Arabic version of Stuttering Severity Instrument-3 (ASSI3) for children and adults
Assessment of stuttering severity: The Arabic version of Stuttering Severity Instrument-3 (ASSI3) for children and adults will be applied for assessment of severity of stuttering. (3).
Automatic detection and severity assessment of stuttering using MATLAB version 8.1.0.604 R2013a (7). Stuttering detection system has three main steps which are acoustic processing, feature extraction and classification/recognition
Control Group
Control Group: This will be consisted of sixty (60) subjects who have normal fluency. They will be selected from the relative of the patients attending to the outpatient clinic and will be matched for age, sex and socioeconomic state with the patients group.
No interventions assigned to this group
Interventions
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The Arabic version of Stuttering Severity Instrument-3 (ASSI3) for children and adults
Assessment of stuttering severity: The Arabic version of Stuttering Severity Instrument-3 (ASSI3) for children and adults will be applied for assessment of severity of stuttering. (3).
Automatic detection and severity assessment of stuttering using MATLAB version 8.1.0.604 R2013a (7). Stuttering detection system has three main steps which are acoustic processing, feature extraction and classification/recognition
Other Intervention Names
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Eligibility Criteria
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Inclusion Criteria
2. Gender: both sexes will be included in the study.
3. The participants in the study group suffering from developmental stuttering (stuttering symptoms was of early childhood onset, intermittent course and dated since early childhood) seeking speech therapy
4. Have language aptitudes coping with his or her chronological age.
Exclusion Criteria
10 Years
30 Years
ALL
No
Sponsors
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Assiut University
OTHER
Responsible Party
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Asmaa Fathy
principal investigator
References
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Bakker K, Brutten GJ. Speech-related reaction times of stutterers and nonstutterers: diagnostic implications. J Speech Hear Disord. 1990 May;55(2):295-9. doi: 10.1044/jshd.5502.295.
Andrews G, Craig A, Feyer AM, Hoddinott S, Howie P, Neilson M. Stuttering: a review of research findings and theories circa 1982. J Speech Hear Disord. 1983 Aug;48(3):226-46. doi: 10.1044/jshd.4803.226.
Yairi E. Subtyping stuttering I: a review. J Fluency Disord. 2007;32(3):165-96. doi: 10.1016/j.jfludis.2007.04.001. Epub 2007 Apr 24.
Prasse JE, Kikano GE. Stuttering: an overview. Am Fam Physician. 2008 May 1;77(9):1271-6.
SHERMAN D. Clinical and experimental use of the Iowa Scale of Severity of Stuttering. J Speech Hear Disord. 1952 Sep;17(3):316-20. doi: 10.1044/jshd.1703.316. No abstract available.
O'Brian S, Packman A, Onslow M, O'Brian N. Measurement of stuttering in adults: comparison of stuttering-rate and severity-scaling methods. J Speech Lang Hear Res. 2004 Oct;47(5):1081-7. doi: 10.1044/1092-4388(2004/080).
Enderby PM, John A. Therapy outcome measures in speech and language therapy: comparing performance between different providers. Int J Lang Commun Disord. 1999 Oct-Dec;34(4):417-29. doi: 10.1080/136828299247360.
Prins D, Ingham RJ. Evidence-based treatment and stuttering--historical perspective. J Speech Lang Hear Res. 2009 Feb;52(1):254-63. doi: 10.1044/1092-4388(2008/07-0111). Epub 2008 Aug 11.
Other Identifiers
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Stuttering using Computer
Identifier Type: -
Identifier Source: org_study_id
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