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

1 code implementation • 6 Sep 2017 • 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 vector machine (SVM) classifier or deep learning neural network model predictions of transcription correctness.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +1

Automatic Pronunciation Scoring And Mispronunciation Detection Using CMUSphinx

no code implementations • WS 2012 • Ronanki Srikanth, Bo Li, James Salsman

Speech Recognition