Utilizing Real-time MRI to Investigate Speech Articulation Disorders by Christina Hagedorn

Location: MMCR


IEEE Signal Processing Society, Bangalore Chapter

and

Department of Electrical Engineering
Indian Institute of Science (IISc), Bangalore

invite you to the following talk

Title: Utilizing Real-time MRI to Investigate Speech Articulation Disorders

Date and time: January 10, 2020; 11:30AM (Coffee will be served at 11:15AM)

Venue: Multimedia Classroom, Department of Electrical Engineering, IISc.

Speaker: Christina Hagedorn, PhD, SLP, CCC-SLP, City University of New York – College of Staten Island

Abstract:
Over the past two decades, real-time Magnetic Resonance Imaging (rtMRI), elaborating traditional medical MRI, has played a critical role in studying a variety of biological movement patterns. Through collaboration between engineers and speech scientists, rtMRI technology has been applied to the study of speech production. Through semi-automatic detection of air-tissue boundaries and estimation of articulatory kinematics using pixel intensity time functions, rtMRI can be used to quantitatively analyze speech production patterns in both typical and disordered populations. In this work, rtMRI is demonstrated to shed light on aspects of speech produced by individuals with tongue cancer and individuals with Apraxia of Speech that would not be possible using tools providing more limited spatiotemporal information about vocal tract shaping.

Biography of the speaker:
Christina Hagedorn is an assistant professor of Linguistics and director of the Motor Speech Laboratory at the City University of New York (CUNY) – College of Staten Island. Her research focuses primarily on disordered speech production. Her work aims to shed light on the precise nature of articulatory breakdowns in disordered speech and how this can inform theories of unimpaired speech production, as well as lead to refinement of the therapeutic techniques used to address these speech deficits. She received her Ph.D. in Linguistics from the University of Southern California, where she was a member of the Speech Production and Articulation kNowledge (SPAN) Group, the USC Phonetics and Phonology Group, and was a Hearing and Communication Neuroscience pre-doctoral fellow. She received her clinical training in Communicative Sciences and Disorders at New York University, and holds a certificate of clinical competency in Speech and Language Pathology (CCC-SLP).

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