Massachusetts Institute of Technology

Satrajit S Ghosh

Thomas Francis Quatieri, Jr

Christopher J Smalt

Tod Machover

Jeffrey Shane Palmer

James R Williamson

Gregory Alan Ciccarelli

George Stefanakis

Michael Erkkinen

Rebecca Kleinberger

Janet Baker

Akito Van Troyer

A feedback system may play back, to a user, an altered version of the user's voice in real time, in order to reduce stuttering by the user. The system may operate in different feedback modes at different times. For instance, the system may detect when the severity of a user's stuttering increases, which is indicative of the user habituating to the current feedback mode. The system may then switch to a different feedback mode. In some cases, the feedback modes include at least a Whisper mode, a Reverb mode, and a Harmony mode. In Whisper mode, the user's voice may be transformed to sound as if it were whispering in the user's ears. In Harmony mode, the user's voice may be altered as if the user were harmonizing with himself or herself. In Reverb mode, the user's voice may be altered so that it reverberates.

Methods and apparatus for reducing stuttering

In a system and method for assessing the condition of a subject, control parameters are derived from a neurophysiological computational model that operates on features extracted from a speech signal. The control parameters are used as biomarkers (indicators) of the subject's condition. Speech related features are compared with model predicted speech features, and the error signal is used to update control parameters within the neurophysiological computational model. The updated control parameters are processed in a comparison with parameters associated with the disorder in a library.

Assessing disorders through speech and a computational model

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Wayland, MA, United States of America

Satrajit S Ghosh