In the generally accepted model of the diagnosis and rehabilitation in small deaf children, the main concern of various specialists is focused on the development of speech and hearing abilities. In our approach, we propose another perspective, in which the deaf child is not seen as an object of the speech education and where the specialists concentrate on the child as a whole--with his various emotional needs and psychical traits. According to that way of seeing the deaf child, we organized the diagnostic-rehabilitation courses for small deaf children and their parents (9 children aged 1.8-5 years). We found these courses as a method opening new perspectives in the process of the diagnosis and rehabilitation in the small deaf children.
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This research study synthesizes research on applications of artificial intelligence (AI) to transform and improve quality of life for deaf and hard of hearing students. Twenty studies were analyzed, spanning domains including AI-enabled captioning, interpreters, personalized tutors, social robots, and assistive apps. Key findings demonstrate emerging AI innovations show promise for enhancing communication, learning, inclusion, and independence for deaf and hard of hearing youth.
View Article and Find Full Text PDFAm J Speech Lang Pathol
December 2024
Department of Communicative Disorders and Deaf Education, Utah State University, Logan.
Purpose: The purpose of the current study was to develop and test extensions to Autoscore, an automated approach for scoring listener transcriptions against target stimuli, for scoring the Speech Intelligibility Test (SIT), a widely used test for quantifying intelligibility in individuals with dysarthria.
Method: Three main extensions to Autoscore were created including a compound rule, a contractions rule, and a numbers rule. We used two sets of previously collected listener SIT transcripts ( = 4,642) from databases of dysarthric speakers to evaluate the accuracy of the Autoscore SIT extensions.
J Deaf Stud Deaf Educ
December 2024
Georgia State University P.O. Box 3965 Atlanta, GA 30302-3965, United States.
This study critically examines the biases and methodological shortcomings in studies comparing deaf and hearing populations, demonstrating their implications for both the reliability and ethics of research in deaf education. Upon reviewing the 20 most-cited deaf-hearing comparison studies, we identified recurring fallacies such as the presumption of hearing ideological biases, the use of heterogeneously small samples, and the misinterpretation of critical variables. Our research reveals a propensity to biased conclusions based on the norms of white, hearing, monolingual English speakers.
View Article and Find Full Text PDFAcad Emerg Med
October 2024
PREPARED Center for Emergency Response Research, Ben-Gurion University of the Negev, Beer Sheva, Israel.
Ear Hear
September 2024
Department of Otolaryngology-Head and Neck Surgery, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
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