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Xie, Zilong; Reetzke, Rachel; Chandrasekaran, Bharath – Journal of Speech, Language, and Hearing Research, 2019
Purpose: Speech-evoked neurophysiological responses are often collected to answer clinically and theoretically driven questions concerning speech and language processing. Here, we highlight the practical application of machine learning (ML)-based approaches to analyzing speech-evoked neurophysiological responses. Method: Two categories of ML-based…
Descriptors: Speech Language Pathology, Intervention, Communication Problems, Speech Impairments
Faes, Jolien; Gillis, Steven – First Language, 2017
In early word productions, the same types of errors are manifest in children with cochlear implants (CI) as in their normally hearing (NH) peers with respect to consonant clusters. However, the incidence of those types and their longitudinal development have not been examined or quantified in the literature thus far. Furthermore, studies on the…
Descriptors: Phonemes, Hearing Impairments, Assistive Technology, Speech Communication
Smith, Chad; Allman, Tamby; Crocker, Samantha – Online Learning, 2017
This study and discussion center upon the use of "YouTube's" automatic captioning feature with college-age adult readers. The study required 75 participants with college experience to view brief middle school science videos with automatic captioning on "YouTube" and answer comprehension questions based on material presented…
Descriptors: Educational Technology, Technology Uses in Education, Video Technology, Middle Schools