Rupal Patel

About

Rupal Patel is a member of the faculty of both Khoury College of Computer Sciences and Bouve College of Health Sciences. Patel is founding member of the doctoral program in personal health informatics and 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 (a.k.a. speech melody) production across the lifespan in neurotypical speakers and those with neuromotor impairment, to implementing novel multimodal assistive communication interfaces. Students from speech and hearing sciences, electrical engineering and computer science work collaboratively in the CadLab, a state-of-the-art facility for conducting psychoacoustic studies, software design, prototyping and usability testing. VocaliD.ai, is a CadLab spin-out that is a pioneer in the area of customized AI voices for individuals and organizations seeking a differentiated voice experience. Dr. Patel has spoken at TED and her work has been covered by NPR, BBC, The Atlantic, Wired, and more. She is a fellow of the Aspen Global Leadership Network and has been named a Voice Tech visionary.

Selected Publications

• Vojtech, J.M., Chan, M.D., Shiwani, B., Roy, S.H., Heaton, J.T., Meltzner, G.S., Contessa, P., De Luca, G., Patel, R., and J.C. Kline. (2021). Surface Electromyography-based recognition, synthesis and perception of prosodic subvocal speech. Journal of Speech, Language and Hearing Research, 64(6S): 2134-2153. https://doi.org/10.1044/2021_JSLHR-20-00257
• Connaghan, KP, Wertheim, C., Laures-Gore, J., Russell, S., & Patel, R. (2021). An exploratory study of student, speech-language pathologist, and emergency worker impressions of speakers with dysarthria. International Journal of Speech-Language Pathology, 23(3): 265-274
• Connaghan, K.P., Fisk, D., & Patel, R. (2019). The impact of musical training on understanding dysarthric speech: A preliminary investigation of transcription errors. Communication Disorders Quarterly, OnlineFirst. https://doi.org/10.1177/1525740119886541
• Brumberg, J. S., Thorson, J. C., & Patel, R. (2018). The Prosodic Marionette: a method to visualize speech prosody and assess perceptual and expressive prosodic abilities. Speech Communication, 104, 95-105
• Toman, M., Meltzner, G., Patel, R. (2018). Data Requirements, Selection and Augmentation for DNN-based Speech Synthesis from Crowdsourced Data. Interspeech 2018: 2878-2882
• Pullin, G., Treviranus, J., Patel, R., & Higginbotham, J. (2017). Designing interaction, voice, and inclusion in AAC research, Augmentative & Alternative Communication, 33(3):1-10
• Connaghan, K.P. & Patel, R. (2017). The impact of contrastive stress on vowel acoustics and intelligibility in dysarthria. Journal of Speech, Language, and Hearing Research, 60(1), 38-50 doi:10.1044/2016_JSLHR-S-15-0291

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