ASSESSING DISORDERS THROUGH SPEECH AND A COMPUTATION MODEL

摘要

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.

主权项

1. A method of assessing a condition of a subject, the method comprising, in an automated system:
extracting speech features from data from a subject; comparing the extracted speech features to predicted speech features from a neurophysiological computational model to obtain an error signal; inverting the error signal through an inverse of the neurophysiological computational model to update internal parameters of the neurophysiological computational model; and processing the updated internal parameters as biomarkers in assessing the subject.