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Expert profile — Profil d'expert

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Frank Rudzicz
Primary area of expertise
Natural Language Processing
Secondary area of expertise
Machine Learning
Other areas of expertise
Rehabilitation engineering, digital signal processing, linguistics, and speech science.
Short biographical note
My work in natural language and speech processing has overlapped with machine learning, human-computer interaction, computer vision, speech-language pathology, rehabilitation engineering, digital signal processing, linguistics, and speech science.
I am interested in intelligent augmentative technologies for people with physical and cognitive disabilities. This is an emerging field of research as aging populations in Western nations will yield an increased prevalence of dementia (e.g., Alzheimer's disease) and of communicative complications related to cardiovascular stroke.
My doctoral research applied artificial intelligence to understanding speech deficits caused by neurological trauma in the speech-motor interface, which is a phenomenon called dysarthria. Dysarthric speakers can understand and produce abstract language, but lack the articulatory coordination to produce fully intelligible speech.
My work in automatic speech recognition significantly improved the rates of correct recognition for individuals with dysarthria (caused by cerebral palsy) by building statistical knowledge of speech production into the process. That knowledge was acquired by our collection of aligned acoustic and articulatory speech data (using electromagnetic articulography) from dysarthric individuals in collaboration with the Oral Dynamics Lab in the Faculty of Medicine, the Holland-Bloorview Kids Rehab Hospital in Toronto, and the Ontario Federation for Cerebral Palsy.

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2013 AI Doctoral and MSC thesis awards

 

33rd Canadian Conference on Artificial Intelligence

13-15 May 2020, Ottawa, Ontario

 

 

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