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Tara McAllister

Associate Professor (On Leave 2019-2020)

Communicative Sciences and Disorders

212-992-9445

Tara McAllister is a linguist and speech-language pathologist who studies speech development in children with and without phonological delay or disorder. Her research aims to explain how children’s articulatory and perceptual limitations shape their early phonological development, and why some children's speech sound errors do not resolve over the course of maturation or in response to conventional forms of treatment. As director of the Biofeedback Intervention Technology for Speech (BITS) Lab at NYU, she has conducted multiple studies measuring the efficacy of acoustic and ultrasound biofeedback in the treatment of persistent speech sound errors. BITS lab research is funded by the NIH National Institute on Deafness and Other Communication Disorders and the American Speech-Language Hearing Foundation. Since 2014, Dr. McAllister has directed the development of staRt, an iOS app to make biofeedback intervention more widely accessible. McAllister earned an A.B./A.M. in linguistics from Harvard University, an M.S. in communication disorders from Boston University, and a Ph.D. in linguistics from MIT.

Link to academic website

Selected Publications

  • Preston, J.L., McAllister, T., Phillips, E., Tiede, Boyce, S.E., Tiede, M., Kim, J.S., Whalen, D.H. (2019). Treatment for residual rhotic errors with and without ultrasound visual feedback: A single case experimental study. American Journal of Speech-Language Pathology28(3), 1167-1183.  Link to preprint and data
  • Klaus, A., Lametti, D., Shiller, D, & McAllister, T. (2019.) Can perceptual training alter the effect of visual biofeedback in speech-motor learning? Journal of the Acoustical Society of America, 145(2), 805-817Link to preprint and data
  • Harel, D., & McAllister, T. (2019). Multilevel models for communication sciences and disorders. Journal of  Speech, Language, and Hearing Research62(4), 783-801.
  • Fernandez, D., Harel, D., Ipeirotis, P., & McAllister, T. (2019). Statistical considerations for crowdsourced perceptual ratings of human speech production. Journal of Applied Statistics, 46(8), 1364-1384.
  • Kawitzky, D., & McAllister, T. (In press). The effect of formant biofeedback on the feminization of voice in transgender women. Forthcoming in Journal of Voice. DOI: 10.1016/j.jvoice.2018.07.017 Link to preprint
  • Small, H. C., McAllister, T., & Grigos, M. (2018). Investigating the use of a nonspeech task to measure tongue-jaw differentiation: Findings across typical development. American Journal of Speech-Language Pathology, 27(3), 1030-1038.
  • Preston, J. L., McAllister, T., Phillips, E., Tiede, Boyce, S.E., Tiede, M., Kim, J.S., Whalen, D.H. (2018).  Treatment for residual rhotic errors with high and low frequency ultrasound visual feedback: A single case experimental design. Journal of Speech, Language & Hearing Research, 61(8), 1875-1892.
  • Hamilton Dugan, S., Silbert, N., McAllister Byun, T., Preston, J. L., Sotto, C., & Boyce, S. E. (2019).  Modeling category goodness judgments in children with residual sound errors. Clinical Linguistics & Phonetics, 33(4), 295-315.      
  • McAllister Byun, T. (2017). Efficacy of visual-acoustic biofeedback intervention for residual rhotic errors: A single-subject randomization study. Journal of Speech, Language, and Hearing Research, 60, 1175-1193.
  • McAllister Byun, T., Campbell, H., Liang, W., Park, T.-H., & Svirsky, M. (2017). Enhancing intervention for residual rhotic errors via app-delivered biofeedback: A case study. Journal of Speech, Language, and Hearing Research, 60, 1810-1817.
  • McAllister Byun, T., Hitchcock, E. R., & Ferron, J. M. (2017). Masked visual analysis: Minimizing type I error in response-guided single-case design for communication disorders. Journal of Speech, Language, and Hearing Research, 60(6), 1455-1466.
  • McAllister Byun, T., & Tiede, M. (2017). Perception-production relations in later development of American English rhotics. PLoS ONE 12(2): e0172022. doi:10.1371/journal.pone.0172022
  • Campbell, H., Harel, D., Hitchcock, E., & McAllister Byun, T. (2018). Selecting an acoustic correlate for automated measurement of American English rhotic production in children. International Journal of Speech-Language Pathology, 20(6), 635-643.
  • Campbell, H., & McAllister Byun, T. (2017). Deriving individualized /r/ targets from the acoustics of children’s non-rhotic vowels. Clinical Linguistics and Phonetics, 32(1), 70-87.
  • Hitchcock, E.R., McAllister Byun, T., Swartz, M.T., & Lazarus, R. (2017). Efficacy of electropalatography for treating misarticulation of /r/. American Journal of Speech-Language Pathology, 26(4), 1141-1158.
  • Preston, J.L., McAllister Byun, T., Boyce, S.E., *Hamilton, S., Tiede, M., Phillips, E., Rivera-Campos, A. & Whalen, D.H. (2017). Ultrasound images of the tongue: Applications for assessment and remediation of speech sound errors. Journal of Visualized Experiments, 119, e55123, doi:10.3791/55123.
  • McAllister Byun, T., & Campbell, H. (2017). Differential effects of visual-acoustic biofeedback intervention for residual speech errors. Frontiers in Human Neuroscience, 10. Available at http://dx.doi.org/10.3389/fnhum.2016.00567
  • McAllister Byun, T., Inkelas, S., & Rose, Y. (2016). The A-map model: Articulatory reliability in child-specific phonology. Language, 92(1), 141-178.
  • McAllister Byun, T., & Tessier, A.-M. (2016). Motor influences on grammar in an emergentist model of phonology. Language and Linguistics Compass 10(9), pp. 431-452.
  • Long, M.A., Katlowitz, K.A., Svirsky, M., Clary, R.C., McAllister Byun, T., Oki, H., Howard, M.A., Greenlee, J.D.W. (2016). Functional segregation of cortical regions underlying speech timing and articulation. Neuron, 89(6), 1187-1193.
  • McAllister Byun, T., Harel, D., Halpin, P.H., & Szeredi, D. (2016). Deriving gradient measures of child speech from crowdsourced ratings. Journal of Communication Disorders, 64, 91-102.
  • Harel, D., Hitchcock, E. R., Szeredi, D., Ortiz, J., & McAllister Byun, T. (2016). Finding the experts in the crowd: Accuracy and reliability in crowdsourced measures of children's covert contrasts. Clinical Linguistics and Phonetics, 31, 104-117.
  • McAllister Byun, T., & Rose, Y. (2016). Analyzing clinical phonological data using Phon. Seminars in Speech and Language, 37(2), 85-105.
  • McAllister Byun, T., Swartz, M. T., Halpin, P. F., Szeredi, D., & Maas, E. (2016). Direction of attentional focus in biofeedback treatment for /r/ misarticulation. International Journal of Language & Communication Disorders, 51(4), 384-401.
  • McAllister Byun, T., Halpin, P. F., & Szeredi, D. (2015). Online crowdsourcing for efficient rating of speech: A validation study. Journal of Communication Disorders, 53, 70-83.

Courses

Critical Eval of Research in Communicative Sciences and Disorders

Consideration of the formulation and design of research problems; collection, processing, and interpretation of data.Evaluation of research in speech and speech pathology and audiology.
Course #
CSCD-GE 2109
Units
2
Term
Fall, Spring, Summer
Faculty

Professors

Tara McAllister ,
Department

Spch SCI:Instrumentation

An advanced and detailed study of the current instrumentation used to evaluate the acoustic, aerodynamic and physiological aspects of speech production in clinical settings and in speech research. Students will gain expertise in the instrumental evaluation of normal subjects.
Course #
CSCD-GE 2125
Units
2
Term
Fall, Spring, Summer
Faculty

Professors

Tara McAllister ,
Department