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staRt: Enhancing speech treatment with smartphone-delivered biofeedback

Award Information
Agency: Department of Health and Human Services
Branch: National Institutes of Health
Contract: 1R41DC016778-01
Agency Tracking Number: R41DC016778
Amount: $222,939.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: NIDCD
Solicitation Number: PA16-303
Timeline
Solicitation Year: 2016
Award Year: 2018
Award Start Date (Proposal Award Date): 2018-03-23
Award End Date (Contract End Date): 2020-02-29
Small Business Information
2 ST NICHOLAS AVE, UNIT 23
Brooklyn, NY 11237-2337
United States
DUNS: 080575365
HUBZone Owned: No
Woman Owned: Yes
Socially and Economically Disadvantaged: No
Principal Investigator
 TARA MCALLISTER
 (212) 992-9445
 tara.byun@nyu.edu
Business Contact
 SAM TARAKAJIAN
Phone: (201) 874-1307
Email: sam@girlfriends.site
Research Institution
 NEW YORK UNIVERSITY
 
665 Broadway Suite 801
NEW YORK, NY 10012-2300
United States

 Nonprofit College or University
Abstract

Project Summary Abstract
Children with speech sound disorder show diminished accuracy and intelligibility in spoken communication and
may thus be perceived as less capable or intelligent than peerseven when they are of average or above average
intellectual abilityWhile most speech errors resolve by the late school age yearsup toof individuals will
continue to exhibit residual speech errorsRSEthroughout the lifespanThese errors can limit participation in
academic and social settingswith negative consequences for both socioemotional wellness and socioeconomic
outcomesRSE is known to be particularly challenging to treatwith the result that speech language
pathologistsSLPsoften discharge these clients with their errors uncorrectedBoth affected children families and
speech language pathologistsSLPshave highlighted the critical need for research to identify and disseminate
more effective forms of treatment for children with RSENew technologies have the potential to revolutionize both the development and delivery of interventions for
speech disordersbut this possibility has seen very little systematic investigation to datePrevious lab based
researchincluding work by the PIhas documented the ef cacy of speech treatment incorporating
visual acoustic biofeedbackin which a client views a computer generated image of the acoustic signal of his her
speech and attempts to match a model representing correct productionHowevertranslation of this research
to clinical practice is limited at present by the cost of the technologyAt the same timethere is a need for
well powered group studies to strengthen the evidence base supporting the ef cacy of biofeedbackbut largescale speech treatment research is prohibitively expensive under current modelsThe long term goal of this
project is to address these clinical and research needs simultaneouslyWe propose to develop aexible mobile
application that will make an evidence based biofeedback treatment program widely available to clinicians and patients parentsand will also enable large scale tests of hypotheses about intervention ef cacy through distributed
delivery of treatment following standardized protocolsWe anticipate that by increasing access to biofeedback
intervention while also strengthening the evidence base in support of this methodthis project will greatly expand
the number of clinicians adopting biofeedback and thus multiply the public health impact of this important line of
clinical research Project narrative
In speech sound disorderde cits in spoken communication pose a barrier to academic and social participation
whose impact may be lifelongNew technologies have the potential to revolutionize both development and delivery of interventions for speech disordersbut there has been very little systematic investigation of this possibility
to dateThe goal of this proposal is to develop aexible mobile application that will make an evidence based
biofeedback speech treatment program readily available to clinicians and patients parentsand will also enable
large scale tests of hypotheses about intervention ef cacy through distributed delivery of treatment following
standardized protocols

* Information listed above is at the time of submission. *

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