TY - JOUR
T1 - Tutorial
T2 - Using Visual–Acoustic Biofeedback for Speech Sound Training
AU - Hitchcock, Elaine R.
AU - Preston, Jonathan L.
AU - Ochs, Laura C.
AU - Swartz, Michelle T.
AU - Leece, Megan C.
AU - McAllister, Tara
N1 - Funding Information:
Disclosure: Elaine R. Hitchcock is a 2017 recipient of a PENTAX Medical Research Grant award. Tara McAllister oversees the direction of the staRt app for visual–acoustic biofeedback. Tara McAllister has an ownership stake in Sonority Labs LLC, a small business that has licensed the staRt software for commercialization. The other authors have declared that no other competing financial or nonfinancial interests existed at the time of publication.
Funding Information:
Research reported in this publication was supported by National Institute on Deafness and Other Communication Disorders Grant R15DC019775 (principal investigator: E. Hitchcock) and R01DC017476 (principal investigator: T. McAllister). The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. The authors gratefully acknowledge Roberta Lazarus, Sarah Granquist, Nina Benway, Lynne Harris, and Samantha Ayala for their vital contributions as clinical partners in this study.
Publisher Copyright:
© 2023 American Speech-Language-Hearing Association.
PY - 2023/1
Y1 - 2023/1
N2 - Purpose: This tutorial summarizes current practices using visual–acoustic biofeedback (VAB) treatment to improve speech outcomes for individuals with speech sound difficulties. Clinical strategies will focus on residual distortions of /ɹ/. Method: Summary evidence related to the characteristics of VAB and the populations that may benefit from this treatment are reviewed. Guidelines are provided for clinicians on how to use VAB with clients to identify and modify their productions to match an acoustic representation. The clinical application of a linear predictive coding spectrum is emphasized. Results: Successful use of VAB requires several key factors including clinician and client comprehension of the acoustic representation, appropriate acoustic target and template selection, as well as appropriate selection of articulatory strategies, practice schedules, and feedback models to scaffold acquisition of new speech sounds. Conclusion: Integrating a VAB component in clinical practice offers additional intervention options for individuals with speech sound difficulties and often facil-itates improved speech sound acquisition and generalization outcomes.
AB - Purpose: This tutorial summarizes current practices using visual–acoustic biofeedback (VAB) treatment to improve speech outcomes for individuals with speech sound difficulties. Clinical strategies will focus on residual distortions of /ɹ/. Method: Summary evidence related to the characteristics of VAB and the populations that may benefit from this treatment are reviewed. Guidelines are provided for clinicians on how to use VAB with clients to identify and modify their productions to match an acoustic representation. The clinical application of a linear predictive coding spectrum is emphasized. Results: Successful use of VAB requires several key factors including clinician and client comprehension of the acoustic representation, appropriate acoustic target and template selection, as well as appropriate selection of articulatory strategies, practice schedules, and feedback models to scaffold acquisition of new speech sounds. Conclusion: Integrating a VAB component in clinical practice offers additional intervention options for individuals with speech sound difficulties and often facil-itates improved speech sound acquisition and generalization outcomes.
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U2 - 10.1044/2022_AJSLP-22-00142
DO - 10.1044/2022_AJSLP-22-00142
M3 - Article
C2 - 36623212
AN - SCOPUS:85146193135
SN - 1058-0360
VL - 32
SP - 18
EP - 36
JO - American Journal of Speech-Language Pathology
JF - American Journal of Speech-Language Pathology
IS - 1
ER -