Correcting Residual Errors With Spectral, Ultrasound, Traditional Speech Therapy
C-RESULTS
2 other identifiers
interventional
108
1 country
2
Brief Summary
Children with speech sound disorder show diminished accuracy and intelligibility in spoken communication and may thus be perceived as less capable or intelligent than peers, with negative consequences for both socioemotional and socioeconomic outcomes. While most speech errors resolve by the late school-age years, between 2-5% of speakers exhibit residual speech errors (RSE) that persist through adolescence or even adulthood, reflecting about 6 million cases in the US. Both affected children/families and speech-language pathologists (SLPs) have highlighted the critical need for research to identify more effective forms of treatment for children with RSE. In a series of single-case experimental studies, research has found that treatment incorporating technologically enhanced sensory feedback (visual-acoustic biofeedback, ultrasound biofeedback) can improve speech in individuals with RSE who have not responded to previous intervention. A randomized controlled trial (RCT) comparing traditional vs biofeedback-enhanced intervention is the essential next step to inform evidence-based decision-making for this prevalent population. Larger-scale research is also needed to understand heterogeneity across individuals in the magnitude of response to biofeedback treatment. The overall objective of this proposal is to conduct clinical research that will guide the evidence-based management of RSE while also providing novel insights into the sensorimotor underpinnings of speech. The central hypothesis is that biofeedback will yield greater gains in speech accuracy than traditional treatment, and that individual deficit profiles will predict relative response to visual-acoustic vs ultrasound biofeedback. This study will enroll n = 118 children who misarticulate the /r/ sound, the most common type of RSE. This first component of the study will evaluate the efficacy of biofeedback relative to traditional treatment in a well-powered randomized controlled trial. Ultrasound and visual-acoustic biofeedback, which have similar evidence bases, will be represented equally.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for not_applicable
Started Mar 2019
Longer than P75 for not_applicable
2 active sites
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
October 31, 2018
CompletedFirst Posted
Study publicly available on registry
November 9, 2018
CompletedStudy Start
First participant enrolled
March 1, 2019
CompletedPrimary Completion
Last participant's last visit for primary outcome
August 31, 2024
CompletedStudy Completion
Last participant's last visit for all outcomes
August 31, 2024
CompletedResults Posted
Study results publicly available
January 5, 2026
CompletedJanuary 5, 2026
March 1, 2025
5.5 years
October 31, 2018
September 4, 2025
December 12, 2025
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Change in F3-F2 Distance (Hz) Across Sessions, Measured From /r/ Sounds Produced in Syllables or Words During Practice.
F3-F2 distance is a number (in Hz) that reflects how close a child's /r/ sound is to a typical adult-like /r/. Smaller numbers indicate more accurate /r/ production; larger numbers indicate a distorted /r/. In typical peers, accurate /r/ is roughly \~500 Hz, whereas distorted /r/ values are often \>1000 Hz. During Phase I (3 sessions over \~1 week), children produced /r/ in syllables/words. For this Outcome, we report change across sessions: a single model-based estimate of how much F3-F2 decreased from Session 1 to Session 3 (i.e., the rate of improvement). A more negative change indicates greater improvement.
Phase I: three 90-min treatment sessions delivered over ~1 week; reported value is the change from Session 1 to Session 3 (slope across sessions)
Secondary Outcomes (2)
Change From Pre to Post in Percent "Correct" Ratings by Untrained Listeners, for /r/ Sounds Produced in Word Probes.
Pre (before initiation of treatment) and Post (after the end of all treatment; ~10 weeks later).
Impact of Speech Disorder on Social, Emotional, and Academic Well-being (Parent Survey)
Pre (before initiation of treatment) and Post (after completion of all treatment; ~10 weeks later)
Study Arms (3)
Group 1
EXPERIMENTALTraditional articulation treatment
Group 2
EXPERIMENTALBiofeedback--visual-acoustic
Group 3
EXPERIMENTALBiofeedback-ultrasound
Interventions
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. 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.
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 will be used as visual aids; however, no real-time visual display of articulatory or acoustic information will be made available.
In ultrasound biofeedback, the elements of traditional treatment (auditory models and verbal descriptions of articulator placement) are enhanced with a real-time ultrasound display of the shape and movements of the tongue. One or two target tongue shapes will be selected for each participant, and a trace of the selected target will be superimposed over the ultrasound screen. Participants will be cued to reshape the tongue to match this target during /r/ production.
Eligibility Criteria
You may qualify if:
- Must be between 9;0 and 15;11 years of age at the time of enrollment.
- Must speak English as the dominant language (i.e., must have begun learning English by age 2, per parent report).
- Must speak a rhotic dialect of English.
- Must pass a pure-tone hearing screening at 20 decibels Hearing Level (HL).
- Must pass a brief examination of oral structure and function.
- Must exhibit less than thirty percent accuracy, based on trained listener ratings, on a probe list eliciting /r/ in various phonetic contexts at the word level.
You may not qualify if:
- Must not receive a T score more than 1.3 standard deviations (SD) below the mean on the Wechsler Abbreviated Scale of Intelligence-2 (WASI-2) Matrix Reasoning.
- Must not receive a standard score below 80 on the Core Language Index of the Clinical Evaluation of Language Fundamentals-5 (CELF-5).
- Must not exhibit voice or fluency disorder of a severity judged likely to interfere with the ability to participate in study activities.
- Must not have an existing diagnosis of developmental disability or major neurobehavioral syndrome such as cerebral palsy, Down Syndrome, or Autism Spectrum Disorder, or major neural disorder (e.g., epilepsy, agenesis of the corpus callosum) or insult (e.g., traumatic brain injury, stroke, or tumor resection).
- Must not show clinically significant signs of apraxia of speech or dysarthria.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Montclair State Universitycollaborator
- National Institute on Deafness and Other Communication Disorders (NIDCD)collaborator
- New York Universitylead
- Syracuse Universitycollaborator
Study Sites (2)
Montclair State University
Bloomfield, New Jersey, 07003, United States
Syracuse University
Syracuse, New York, 13244, United States
Related Publications (19)
Preston JL, McCabe P, Tiede M, Whalen DH. Tongue shapes for rhotics in school-age children with and without residual speech errors. Clin Linguist Phon. 2019;33(4):334-348. doi: 10.1080/02699206.2018.1517190. Epub 2018 Sep 10.
PMID: 30199271BACKGROUNDPreston JL, McAllister T, Phillips E, Boyce S, Tiede M, Kim JS, Whalen DH. Treatment for Residual Rhotic Errors With High- and Low-Frequency Ultrasound Visual Feedback: A Single-Case Experimental Design. J Speech Lang Hear Res. 2018 Aug 8;61(8):1875-1892. doi: 10.1044/2018_JSLHR-S-17-0441.
PMID: 30073249BACKGROUNDDugan SH, Silbert N, McAllister T, Preston JL, Sotto C, Boyce SE. Modelling category goodness judgments in children with residual sound errors. Clin Linguist Phon. 2019;33(4):295-315. doi: 10.1080/02699206.2018.1477834. Epub 2018 May 24.
PMID: 29792525BACKGROUNDPreston JL, Holliman-Lopez G, Leece MC. Do Participants Report Any Undesired Effects in Ultrasound Speech Therapy? Am J Speech Lang Pathol. 2018 May 3;27(2):813-818. doi: 10.1044/2017_AJSLP-17-0121.
PMID: 29546269BACKGROUNDPreston JL, McAllister Byun T, Boyce SE, Hamilton S, Tiede M, Phillips E, Rivera-Campos A, Whalen DH. Ultrasound Images of the Tongue: A Tutorial for Assessment and Remediation of Speech Sound Errors. J Vis Exp. 2017 Jan 3;(119):55123. doi: 10.3791/55123.
PMID: 28117824BACKGROUNDPreston JL, Leece MC, Maas E. Motor-based treatment with and without ultrasound feedback for residual speech-sound errors. Int J Lang Commun Disord. 2017 Jan;52(1):80-94. doi: 10.1111/1460-6984.12259. Epub 2016 Jun 14.
PMID: 27296780BACKGROUNDCampbell H, Harel D, Hitchcock E, McAllister Byun T. Selecting an acoustic correlate for automated measurement of American English rhotic production in children. Int J Speech Lang Pathol. 2018 Nov;20(6):635-643. doi: 10.1080/17549507.2017.1359334. Epub 2017 Aug 10.
PMID: 28795872BACKGROUNDCampbell H, McAllister Byun T. Deriving individualised /r/ targets from the acoustics of children's non-rhotic vowels. Clin Linguist Phon. 2018;32(1):70-87. doi: 10.1080/02699206.2017.1330898. Epub 2017 Jul 13.
PMID: 28703653BACKGROUNDMcAllister Byun T. Efficacy of Visual-Acoustic Biofeedback Intervention for Residual Rhotic Errors: A Single-Subject Randomization Study. J Speech Lang Hear Res. 2017 May 24;60(5):1175-1193. doi: 10.1044/2016_JSLHR-S-16-0038.
PMID: 28389677BACKGROUNDMcAllister Byun T, Tiede M. Perception-production relations in later development of American English rhotics. PLoS One. 2017 Feb 16;12(2):e0172022. doi: 10.1371/journal.pone.0172022. eCollection 2017.
PMID: 28207800BACKGROUNDMcAllister Byun T, Campbell H. Differential Effects of Visual-Acoustic Biofeedback Intervention for Residual Speech Errors. Front Hum Neurosci. 2016 Nov 11;10:567. doi: 10.3389/fnhum.2016.00567. eCollection 2016.
PMID: 27891084BACKGROUNDMcAllister Byun T, Halpin PF, Szeredi D. Online crowdsourcing for efficient rating of speech: a validation study. J Commun Disord. 2015 Jan-Feb;53:70-83. doi: 10.1016/j.jcomdis.2014.11.003. Epub 2014 Dec 15.
PMID: 25578293BACKGROUNDHitchcock ER, Byun TM, Swartz M, Lazarus R. Efficacy of Electropalatography for Treating Misarticulation of /r/. Am J Speech Lang Pathol. 2017 Nov 8;26(4):1141-1158. doi: 10.1044/2017_AJSLP-16-0122.
PMID: 28834534BACKGROUNDHarel D, Hitchcock ER, Szeredi D, Ortiz J, McAllister Byun T. Finding the experts in the crowd: Validity and reliability of crowdsourced measures of children's gradient speech contrasts. Clin Linguist Phon. 2017;31(1):104-117. doi: 10.3109/02699206.2016.1174306. Epub 2016 Jun 7.
PMID: 27267258BACKGROUNDHitchcock ER, Harel D, Byun TM. Social, Emotional, and Academic Impact of Residual Speech Errors in School-Aged Children: A Survey Study. Semin Speech Lang. 2015 Nov;36(4):283-94. doi: 10.1055/s-0035-1562911. Epub 2015 Oct 12.
PMID: 26458203BACKGROUNDHitchcock ER, Byun TM. Enhancing generalisation in biofeedback intervention using the challenge point framework: a case study. Clin Linguist Phon. 2015 Jan;29(1):59-75. doi: 10.3109/02699206.2014.956232. Epub 2014 Sep 12.
PMID: 25216375BACKGROUNDByun TM, Hitchcock ER, Swartz MT. Retroflex versus bunched in treatment for rhotic misarticulation: evidence from ultrasound biofeedback intervention. J Speech Lang Hear Res. 2014 Dec;57(6):2116-30. doi: 10.1044/2014_JSLHR-S-14-0034.
PMID: 25088034BACKGROUNDByun TM, Hitchcock ER. Investigating the use of traditional and spectral biofeedback approaches to intervention for /r/ misarticulation. Am J Speech Lang Pathol. 2012 Aug;21(3):207-21. doi: 10.1044/1058-0360(2012/11-0083). Epub 2012 Mar 21.
PMID: 22442281BACKGROUNDMcAllister T, Preston JL, Hitchcock ER, Hill J. Protocol for Correcting Residual Errors with Spectral, ULtrasound, Traditional Speech therapy Randomized Controlled Trial (C-RESULTS RCT). BMC Pediatr. 2020 Feb 11;20(1):66. doi: 10.1186/s12887-020-1941-5.
PMID: 32046671DERIVED
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Results Point of Contact
- Title
- Tara McAllister, Associate Professor
- Organization
- New York University
Publication Agreements
- PI is Sponsor Employee
- Yes
- Restrictive Agreement
- No
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- SINGLE
- Who Masked
- OUTCOMES ASSESSOR
- Masking Details
- All perceptual ratings will be obtained from blinded, naive listeners recruited through online crowdsourcing. Following protocols refined in previous published research, binary rating responses will be aggregated over at least 9 unique listeners per token.
- Purpose
- TREATMENT
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
October 31, 2018
First Posted
November 9, 2018
Study Start
March 1, 2019
Primary Completion
August 31, 2024
Study Completion
August 31, 2024
Last Updated
January 5, 2026
Results First Posted
January 5, 2026
Record last verified: 2025-03
Data Sharing
- IPD Sharing
- Will not share