Adaptation Approaches for Pronunciation Scoring with Sparse Training Data

Federico Landini
Federico Landini

SPECOM, pp. 87-97, 2017.

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Abstract:

In Computer Assisted Language Learning systems, pronunciation scoring consists in providing a score grading the overall pronunciation quality of the speech uttered by a student. In this work, a log-likelihood ratio obtained with respect to two automatic speech recognition (ASR) models was used as score. One model represents native pronunc...More

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