Findings from University of Maryland Broaden Understanding of Artificial Intelli gence [Artificial Intelligence-assisted Speech Therapy for /( Sic)/: a Single-case Experimental Study]
Findings from University of Maryland Broaden Understanding of Artificial Intelli gence [Artificial Intelligence-assisted Speech Therapy for /( Sic)/: a Single-case Experimental Study]
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators publish new report on Ar tificial Intelligence. According to news originatingfrom College Park, Maryland , by NewsRx correspondents, research stated, “This feasibility trial describesc hanges in rhotic production in residual speech sound disorder following ten 40-m in sessions includingartificial intelligence (AI)-assisted motor-based interven tion with ChainingAI, a version of Speech MotorChaining that predicts clinician perceptual judgment using the PERCEPT-R Classifier (Perceptual ErrorRating for the Clinical Evaluation of Phonetic Targets). The primary purpose is to evaluat e /(sic)/productions directly after practice with ChainingAI versus directly be fore ChainingAI and to evaluate howthe overall AI-assisted treatment package ma y lead to perceptual improvement in /(sic)/ productionscompared to a no-treatme nt baseline phase.”
Key words
College Park/Maryland/United States/N orth and Central America/Artificial Intelligence/Emerging Technologies/Health and Medicine/Machine Learning/Rehabilitation of Speech and Language Disorders/Speech Therapy/University of Maryland
NETL
NSTL