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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
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Dinnsen, Daniel A.; Green, Christopher R.; Morrisette, Michele L.; Gierut, Judith A. – Clinical Linguistics & Phonetics, 2011
This article documents the typological occurrence and interactions of two seemingly independent error patterns, namely Velar Fronting and Labial Harmony, in a cross-sectional investigation of the sound systems of 235 children with phonological delays (ages 3;0 to 7;9). The results revealed that the occurrence of Labial Harmony depends on the…
Descriptors: Error Patterns, Prediction, Interaction, Classification
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Cummings, Alycia E.; Barlow, Jessica A. – Clinical Linguistics & Phonetics, 2011
The goal of this research programme was to evaluate the role of word lexicality in effecting phonological change in children's sound systems. Four children with functional speech sound disorders (SSDs) were enrolled in an across-subjects multiple baseline single-subject design; two were treated using high-frequency real words (RWs) and two were…
Descriptors: Language Processing, Generalization, Phonology, Diagnostic Tests