Rupal Patel
(she/her)
Professor, Interdisciplinary with Bouvé College of Health Sciences
Research interests
- Speech acoustics and analytics
- Design and development of assistive communication technology
- Speech motor control in neuromotor disorders
- Typical speech development
Education
- Postdoc, Massachusetts Institute of Technology
- PhD in Speech Language Pathology, University of Toronto — Canada
- MHSc in Speech Language Pathology, University of Toronto — Canada
- BSc in Neuropsychology, University of Calgary — Canada
Biography
Rupal Patel is a professor in the Khoury College of Computer Sciences and the Bouvé College of Health Sciences at Northeastern University, based in Boston. She is a founding member of the doctoral program in personal health informatics and the founder and director of the Communication Analysis and Design Laboratory (CadLab).
The CadLab is an interdisciplinary group that conducts fundamental research on speech production and applies empirical findings toward the design and development of novel human-machine communication interfaces. Research projects range from analysis of prosody (i.e. speech melody) production in neurotypical and impaired speakers to the implementation of novel multimodal assistive communication interfaces. Students from speech and hearing sciences, electrical engineering, and computer science work collaboratively in a state-of-the-art facility to for conduct psychoacoustic studies, software design, prototyping, and usability testing. VocaliD, a Veritone company, is a CadLab spin-out.
Research funding is provided by the National Science Foundation, the Charles H. Hood Foundation, the Continuous Path Foundation, and several National Institutes of Health, including the National Institutes of Deafness and Other Communication Disorders, Child and Human Development, Biomedical Imagining and Bioengineering, and Disability and Rehabilitation Research.
Recent publications
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Data Requirements, Selection and Augmentation for DNN-based Speech Synthesis from Crowdsourced Data
Citation: Markus Toman, Geoffrey S. Meltzner, Rupal Patel. (2018). Data Requirements, Selection and Augmentation for DNN-based Speech Synthesis from Crowdsourced Data INTERSPEECH, 2878-2882. https://doi.org/10.21437/Interspeech.2018-1316 -
The Prosodic Marionette: A method to visualize speech prosody and assess perceptual and expressive prosodic abilities
Citation: Jonathan S. Brumberg, Jill C. Thorson, Rupal Patel. (2018). The Prosodic Marionette: A method to visualize speech prosody and assess perceptual and expressive prosodic abilities Speech Commun., 104, 95-105. https://doi.org/10.1016/j.specom.2018.09.009