Automatic pronunciation scoring of specific phone segments for language instruction

  title={Automatic pronunciation scoring of specific phone segments for language instruction},
  author={Yoon Kim and Horacio Franco and Leonardo Neumeyer},
The aim of the work described in this paper is to develop methods for automatically assessing the pronunciation quality of specific phone segments uttered by students learning a foreign language. From the phonetic time alignments generated by SRI's Decipher™ HMM-based speech recognition system, we use various probabilistic models to produce pronunciation scores for the phone utterance. We evaluate the performance of the proposed algorithms by measuring how well the machine-produced scores… CONTINUE READING
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