Speech Recognition for Education

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Wang et al. (2018) [pdf]

Automated scoring model for evaluating English spoken responses
SpeechRater gave a significantly lower score than human raters for German
SpeechRater scored in favor of Chinese group, with H1-rater scores higher than mean

Loukina & Buzick (2017) [pdf]

a model (the SpeechRater) automatically scoring open-ended spoken responses for speakers with documented or suspected speech impairments
SpeechRater was less accurate for test takers who were deferred for signs of speech impairment (ρ² = .57) than test takers who were given accommodations for documented disabilities (ρ² = .73)

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