StutteringNCT05437627
Computerized Based Analysis for Detection and Severity Assessment of Stuttering
An observational study of Stuttering, run by Assiut University.
Trial summary
In the light of previous attempts to design and develop automated and objective measures for automatic speech recognition system that detects disfluent speech and assess its severity, yet fully automated measurement of stuttered speech is not available. Read more about this study
- Who is it for?
- Ages 10 to 30 years
- Conditions the study is for
- Stuttering
- What is being tested?
- The Arabic version of Stuttering Severity Instrument-3 (ASSI3) for children and adults
- How many people
- 120 participants
- Where
- No sites listed yet
- Study dates
- 1 Sep 2022to 1 Oct 2024
- How long will I take part?
- 3 Months
- Phase
- Observational
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 10 to 30 years
- All sexes
- Child, Adult
Study population: The study will be included one hundred twenty (120) subjects; age ranges (10-30 years). They will be recruited from the outpatient clinic of Phoniatric Unit, Assiut University Hospital. The study is supposed to be conducted in one up to 2 years. They will be divided into two groups: 1. 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) 2. 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.
Who may be able to join
- Age: from 10 to 30 years old.
- Gender: both sexes will be included in the study.
- 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
- Have language aptitudes coping with his or her chronological age.
Who cannot join
- 1. Presence of any other speech or language disorders. 2. Mental Retardation. 3. Poor scholastic performances. 4. Presence of any psychiatric or neurologic disorders.
About this study
In the light of previous attempts to design and develop automated and objective measures for automatic speech recognition system that detects disfluent speech and assess its severity, yet fully automated measurement of stuttered speech is not available. This study was triggered by the need to design and develop a simple and reliable computerized tool for identification of stuttering and measurement for its severity. Therefore, the aim of this study is to develop a user interface that can work on windows system for the adopted stuttering recognition model which can be used in clinical practice by physicians and therapists.
Read the detailed description
Stuttering is a speech disorder in which the normal flow of speech is disrupted by occurrences of dysfluencies, such as repetition, prolongations and blocks (1). Features that have been found to differ between stutterers and nonstutterers are rate of speech and frequency of dysfluent utterances (2).
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
- Stuttering
- Being tested
- The Arabic version of Stuttering Severity Instrument-3 (ASSI3) for children and adults
- Medical subject headings
- Stuttering
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
The Arabic version of Stuttering Severity Instrument-3 (ASSI3) for children and adultsDiagnostic test
Also called A. Acoustic voice analysis, B. Spectral analysis:, Automatic detection and severity assessment of stuttering
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
| Study group | Role | What they receive |
|---|---|---|
| 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) Receives: Diagnostic Test: The Arabic version of Stuttering Severity Instrument-3 (ASSI3) for children and adults | |
| 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. |
What is being measured
The primary outcome is the main question the study is designed to answer.
Assessment of stuttering severity:
using both subjective method as The Arabic version of Stuttering Severity Instrument-3 (ASSI3) for children and adults and objective method asAutomatic detection and severity assessment of stuttering
Measured: baseline
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted29 Jun 2022
- Study start1 Sep 2022 (estimated)
- Primary completion30 Sep 2024 (estimated)
- Study completion1 Oct 2024 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (8)Papers the sponsor has linked to this study.
- Other trials for StutteringStudies of the same condition, open and under way.
- More trials run by Assiut UniversityThe sponsor's other registered studies.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Case-control
- Time perspective
- Prospective
- Enrolment
- 120 participants (estimated)
- Target duration
- 3 Months
Sponsor and investigators
- Lead sponsor
- Assiut University
- Sponsor type
- University, hospital or other
- Responsible party
- Principal investigator, Asmaa Fathy, Assiut University
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT05437627
- Sponsor's protocol ID
- Stuttering using Computer
- Status last verified
- Jun 2022
- First submitted
- 26 Jun 2022
- Last updated
- 29 Jun 2022
- Results posted
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
Publications
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.
PubMed 2329792Andrews 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.
PubMed 6353066Yairi 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.
PubMed 17825668Prasse JE, Kikano GE. Stuttering: an overview. Am Fam Physician. 2008 May 1;77(9):1271-6.
PubMed 18540491SHERMAN 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.
PubMed 13053555O'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).
PubMed 15603463Enderby 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.
PubMed 10884909Prins 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.
PubMed 18695017
Study at a glance
From the registry record, last updated by the sponsor on 29 Jun 2022. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Computerized Based Analysis for Detection and Severity Assessment of Stuttering
- ClinicalTrials.gov ID
- NCT05437627
- Acronym / sponsor ID
- Stuttering using Computer
- Conditions
- Stuttering
- Study type
- Observational
- Recruitment status
- Unknown status
- Enrolment
- 120 participants (estimated)
- Lead sponsor
- Assiut UniversityUniversity, hospital or other
- Study start
- 1 Sep 2022 (estimated)
- Primary completion
- 30 Sep 2024 (estimated)
- Study completion
- 1 Oct 2024 (estimated)
- First posted
- 29 Jun 2022 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
In the light of previous attempts to design and develop automated and objective measures for automatic speech recognition system that detects disfluent speech and assess its severity, yet fully automated measurement of stuttered speech is not available. This study was triggered by the need to design and develop a simple and reliable computerized tool for identification of stuttering and measurement for its severity. Therefore, the aim of this study is to develop a user interface that can work on windows system for the adopted stuttering recognition model which can be used in clinical practice by physicians and therapists.
Detailed description
Stuttering is a speech disorder in which the normal flow of speech is disrupted by occurrences of dysfluencies, such as repetition, prolongations and blocks (1). Features that have been found to differ between stutterers and nonstutterers are rate of speech and frequency of dysfluent utterances (2).
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.
Study design
- Observational model
- Case-control
- Time perspective
- Prospective
- Target follow-up
- 3 Months
- Number of arms
- 2
| Arm | Type | Receives |
|---|---|---|
| Study Group: | – | Diagnostic Test: The Arabic version of Stuttering Severity Instrument-3 (ASSI3) for children and adultsStudy 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) |
| 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. |
Who may qualify
- Ages
- 10 to 30 years
- Sex
- All
- Age groups
- Child, Adult
- Study population
- The study will be included one hundred twenty (120) subjects; age ranges (10-30 years). They will be recruited from the outpatient clinic of Phoniatric Unit, Assiut University Hospital. The study is supposed to be conducted in one up to 2 years. They will be divided into two groups: 1. 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) 2. 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.
Key inclusion criteria (4 listed)
- Age: from 10 to 30 years old.
- Gender: both sexes will be included in the study.
- 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
- Have language aptitudes coping with his or her chronological age.
Key exclusion criteria (1 listed)
- 1. Presence of any other speech or language disorders. 2. Mental Retardation. 3. Poor scholastic performances. 4. Presence of any psychiatric or neurologic disorders.
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| The Arabic version of Stuttering Severity Instrument-3 (ASSI3) for children and adultsAlso: A. Acoustic voice analysis, B. Spectral analysis:, Automatic detection and severity assessment of stutteringAssessment 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 | Diagnostic test | Study Group: |
Primary outcome
Assessment of stuttering severity:
Time frame: baseline
using both subjective method as The Arabic version of Stuttering Severity Instrument-3 (ASSI3) for children and adults and objective method asAutomatic detection and severity assessment of stuttering
Results and safety
Results are not available in the source record.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 29 Jun 2022.
- Background: PubMed 2329792Bakker 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.
- Background: PubMed 6353066Andrews 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.
- Background: PubMed 17825668Yairi 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.
- Background: PubMed 18540491Prasse JE, Kikano GE. Stuttering: an overview. Am Fam Physician. 2008 May 1;77(9):1271-6.
- Background: PubMed 13053555SHERMAN 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.
- Background: PubMed 15603463O'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).
- Background: PubMed 10884909Enderby 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.
- Background: PubMed 18695017Prins 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.
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
The record lists no contact. Use the official record to reach the sponsor.
Questions about this trial
What is this clinical trial studying?
An observational study of Stuttering, run by Assiut University.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 4 inclusion and 1 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: status not confirmed, as of the sponsor's last update on 29 Jun 2022. Status can change between updates, so confirm with the study contact before making plans.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
Results are not available in the source record.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Assessment of stuttering severity: (time frame: baseline). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT05437627, which also lists 8 linked publications.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 29 Jun 2022.