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DIVA predictions about speech in MV ASD (Chenausky et al., 2021) ...
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Abstract:
Purpose: Understanding what limits speech development in minimally verbal (MV) children with autism spectrum disorder (ASD) is important for providing highly effective targeted therapies. This preliminary investigation explores the extent to which developmental speech deficits predicted by Directions Into Velocities of Articulators (DIVA), a computational model of speech production, exemplify real phenotypes. Method: Implementing a motor speech disorder in DIVA predicted that speech would become highly variable within and between tokens, while implementing a motor speech plus an auditory processing disorder predicted that DIVA’s speech would become highly centralized (schwa-like). Acoustic analyses of DIVA’s output predicted that acoustically measured phoneme distortion would be similar between the two cases, but that in the former case, speech would show more within- and between-token variability than in the latter case. We tested these predictions quantitatively on the speech of children with MV ASD. In ...
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Keyword:
170204 Linguistic Processes incl. Speech Production and Comprehension; FOS Psychology
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URL: https://dx.doi.org/10.23641/asha.14384432
https://asha.figshare.com/articles/dataset/DIVA_predictions_about_speech_in_MV_ASD_Chenausky_et_al_2021_/14384432
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DIVA predictions about speech in MV ASD (Chenausky et al., 2021) ...
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