staRt: Enhancing Speech Treatment With Smartphone-delivered Biofeedback

NCT ID: NCT04474691

Last Updated: 2023-05-03

Study Results

Results available

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Basic Information

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Recruitment Status

COMPLETED

Clinical Phase

NA

Total Enrollment

15 participants

Study Classification

INTERVENTIONAL

Study Start Date

2018-04-04

Study Completion Date

2022-02-28

Brief Summary

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Previous research suggests that biofeedback can outperform traditional interventions for RSE, but no controlled studies have tested this hypothesis in the context of app-delivered biofeedback. The objective of this aim is to use the staRt app to test our working hypothesis that speakers will make larger gains in /r/ accuracy when app-based treatment incorporates biofeedback, compared to a non-biofeedback condition. With a network of cooperating SLPs, this project will recruit 15 children with /r/ misarticulation to receive 8 weeks of intervention using staRt. Individual sessions will be randomly assigned to include or exclude the visual biofeedback display. Randomization tests will be used to evaluate, for each individual, whether larger increments of change are associated with biofeedback and non-biofeedback sessions.

Detailed Description

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Conditions

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Speech Sound Disorder

Study Design

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Allocation Method

RANDOMIZED

Intervention Model

CROSSOVER

Children with /r/ misarticulation will receive 16 sessions/8 weeks of intervention using staRt. Individual sessions will be randomly assigned to include the visual biofeedback display (visual-acoustic biofeedback treatment) or exclude it (traditional treatment). Participants will receive an equal number of sessions (8) of each type.
Primary Study Purpose

TREATMENT

Blinding Strategy

SINGLE

Outcome Assessors
Acoustic measures will be obtained by research assistants blinded to the treatment condition assigned for each session.

Study Groups

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Visual-acoustic biofeedback

Group Type EXPERIMENTAL

Visual-acoustic biofeedback

Intervention Type BEHAVIORAL

In visual-acoustic biofeedback treatment, the elements of traditional treatment (auditory models and verbal descriptions of articulator placement) are enhanced with a dynamic display of the speech signal in the form of the real-time LPC (Linear Predictive Coding) spectrum generated by the staRt app. Because correct vs incorrect productions of /r/ contrast acoustically in the frequency of the third formant (F3), participants will be cued to make their real-time LPC spectrum match a visual target characterized by a low F3 frequency. They will be encouraged to attend to the visual display while adjusting the placement of their articulators and observing how those adjustments impact F3. Knowledge of performance feedback will typically involve reference to the location of the third peak or 'bump' on the visual display.

Traditional articulation treatment

Group Type ACTIVE_COMPARATOR

Traditional articulation treatment

Intervention Type BEHAVIORAL

Traditional articulation treatment involves providing auditory models and verbal descriptions of correct articulator placement, then cueing repetitive motor practice. Images and diagrams of the vocal tract can be used as visual aids; however, no real-time visual display of articulatory or acoustic information will be made available. Knowledge of performance feedback could describe either the desired articulator placement or the auditory quality of the target sound.

Interventions

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Traditional articulation treatment

Traditional articulation treatment involves providing auditory models and verbal descriptions of correct articulator placement, then cueing repetitive motor practice. Images and diagrams of the vocal tract can be used as visual aids; however, no real-time visual display of articulatory or acoustic information will be made available. Knowledge of performance feedback could describe either the desired articulator placement or the auditory quality of the target sound.

Intervention Type BEHAVIORAL

Visual-acoustic biofeedback

In visual-acoustic biofeedback treatment, the elements of traditional treatment (auditory models and verbal descriptions of articulator placement) are enhanced with a dynamic display of the speech signal in the form of the real-time LPC (Linear Predictive Coding) spectrum generated by the staRt app. Because correct vs incorrect productions of /r/ contrast acoustically in the frequency of the third formant (F3), participants will be cued to make their real-time LPC spectrum match a visual target characterized by a low F3 frequency. They will be encouraged to attend to the visual display while adjusting the placement of their articulators and observing how those adjustments impact F3. Knowledge of performance feedback will typically involve reference to the location of the third peak or 'bump' on the visual display.

Intervention Type BEHAVIORAL

Eligibility Criteria

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Inclusion Criteria

* Normal performance on a pure-tone hearing screening at 20 dB HL, a screening examination of oral-motor structure and function, and a test of receptive language.

Exclusion Criteria

* History of major behavioral, neurological, or hearing impairment, per parent and/or SLP report.
Minimum Eligible Age

8 Years

Maximum Eligible Age

15 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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National Institutes of Health (NIH)

NIH

Sponsor Role collaborator

National Institute on Deafness and Other Communication Disorders (NIDCD)

NIH

Sponsor Role collaborator

New York University

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Locations

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New York University

New York, New York, United States

Site Status

Countries

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United States

Provided Documents

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Document Type: Study Protocol

View Document

Document Type: Statistical Analysis Plan

View Document

Other Identifiers

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R41DC016778

Identifier Type: NIH

Identifier Source: secondary_id

View Link

staRt single-case

Identifier Type: -

Identifier Source: org_study_id

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