most citedSpoken English Intelligibility Remediation with PocketSphinx Alignment and Feature Extraction Improves Substantially over the State of the Art

5 citations · 5 across the 1 of their papers we have counts for

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1 paper

cs.CL2017★ 5 cited

Spoken English Intelligibility Remediation with PocketSphinx Alignment and Feature Extraction Improves Substantially over the State of the Art

Yuan Gao, Brij Mohan Lal Srivastava, James Salsman

We use automatic speech recognition to assess spoken English learner pronunciation based on the authentic intelligibility of the learners' spoken responses determined from support…