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Charlotte M. Reed
Researcher at Massachusetts Institute of Technology
Publications - 95
Citations - 2439
Charlotte M. Reed is an academic researcher from Massachusetts Institute of Technology. The author has contributed to research in topics: Speechreading & Consonant. The author has an hindex of 29, co-authored 92 publications receiving 2260 citations. Previous affiliations of Charlotte M. Reed include University of Pittsburgh.
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Journal ArticleDOI
Speaking Clearly for the Hard of Hearing IV: Further Studies of the Role of Speaking Rate
TL;DR: Key-word scores for materials produced by a professional talker were inversely correlated with speaking rate, but conversational rate scores did not approach those of clear speech for other talkers.
Journal ArticleDOI
Information transmission with a multifinger tactual display.
TL;DR: The tactual information transmission capabilities of a tactual display designed to provide stimulation along a continuum from kinesthetic movements to cutaneous vibrations are assessed and the IT rate was estimated to be about 12 bits/seC.
Journal ArticleDOI
Research on the Tadoma method of speech communication
Charlotte M. Reed,William M. Rabinowitz,Nathaniel I. Durlach,Louis D. Braida,S. Conway‐Fithian,Martin C. Schultz +5 more
TL;DR: The current research includes learning of Tadoma by normal subjects with simulated deafness and blindness, augmenting Tadoma with a supplemental tactile display of tongue position, and developing a synthetic Tadoma system in which signals recorded from a talker's face are used to drive an artificial face.
Hearing aids--a review of past research on linear amplification, amplitude compression, and frequency lowering.
Louis D. Braida,Nathaniel I. Durlach,Richard P. Lippmann,B. L. Hicks,William M. Rabinowitz,Charlotte M. Reed +5 more
Journal ArticleDOI
Optimum Information Transfer Rates for Communication through Haptic and Other Sensory Modalities
TL;DR: These current results suggest that optimal delivery rate varies with stimulus information to yield a constant peak IT rate that depends on the degree of familiarity and training with a particular stimulus set.