Professor Fell’s research focuses on designing and developing software to aid people with disabilities. Her work involves user interface design and signal processing for speech analysis as well as testing with people ranging in age from four months to adult.
She has designed and developed the Baby Babble Blanket, an interface for infants with severe motor disabilities; the Early Vocalization Analyzer, which automatically analyzes digitized recordings of infant vocalizations; and visiBabble, which provides real-time visual reinforcement of infant vocalizations for deaf or severely hearing-impaired infants. She also works on automatic detection of emotion in adult speech.
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