Heejin Kim's directory photo.

Heejin Kim

Visiting Research Scientist

Primary Affiliation

Biologically Informed Artificial Intelligence


Status Research Staff

Home Beckman Institute for Advanced Science and Technology

Phone 244-4972


Address 2005 Beckman Institute, 405 North Mathews Avenue

  • Biography

    Heejin Kim is one of the research staff in the Department of Linguistics. She is a visiting research scientist with a primary affiliation in Biologically Informed Artificial Intelligence.


    • Ph.D., linguistics, University of Illinois at Urbana-Champaign, 2006

    • MA., korean linguistics, Yonsei University, 1996

    • BA., korean language and literature, Yonsei University, 1994

  • Research

    Research Interests:

    • Experimental phonetics

    • Speech production and perception

    • Motor speech disorder

    • Translational research

    Dr Kim's research focuses on (1) understanding the acoustic and perceptual correlates of segmental and prosodic categories in normal speech, (2) understanding the nature of acoustic degradation in motor speech disorder and its impact on speech intelligibility, and (3) developing evidence-based communication aids that are effective and functional in real-world situations for people with communication disorders.

  • 2023

    • Gurevich, N., & Kim, H. (2023). The phonetics and phonology of intelligibility: the functional importance to intelligibility of speech sounds. In Clinical applications of linguistics to speech-language pathology: A guide for clinicians. Routledge.


    • Gurevich, N., & Kim, H. (2022). Examination of consonantal phonetic coverage in standard reading passages. Perspectives of the ASHA Special Interest Groups.


    • Kim, H., & Gurevich, N. (2021). Positional asymmetries in consonant production and intelligibility in dysarthric speech. Clinical linguistics & phonetics, 1–18. Advance online publication.


    • Lee, J., Kim, H., & Jung, Y. (2020). Patterns of Misidentified Vowels in Individuals With Dysarthria Secondary to Amyotrophic Lateral Sclerosis. Journal of speech, language, and hearing research : JSLHR, 63(8), 2649–2666.


    • Moro-Velázquez, Laureano & Cho, Jaejin & Watanabe, Shinji & Hasegawa-Johnson, Mark & Scharenborg, Odette & Kim, Heejin & Dehak, Najim. (2019). Study of the Performance of Automatic Speech Recognition Systems in Speakers with Parkinson’s Disease. 3875-3879. 10.21437/Interspeech.2019-2993.


    • Kim, H., & Hasegawa-Johnson, H. (2018). Comparing Human and Computer Adaptation to Dysarthric Speech. Signal and Acoustic Modeling for Speech and Communication Disorders: De Gruyter series on Speech Technology and Text Mining in Medicine and Healthcare, edited by Hemant Patil, Manisha Kulshreshtha, & Amy Neustein.


    • Kim H. (2015). Familiarization Effects on Consonant Intelligibility in Dysarthric Speech. Folia phoniatrica et logopaedica : official organ of the International Association of Logopedics and Phoniatrics (IALP), 67(5), 245–252.


    • Kim, H., & Nanney, S. (2014). Familiarization effects on word intelligibility in dysarthric speech. Folia phoniatrica et logopaedica : official organ of the International Association of Logopedics and Phoniatrics (IALP), 66(6), 258–264.