Adaptive frequency cepstral coefficients for word mispronunciation detection

Abstract

Systems based on automatic speech recognition (ASR) technology can provide important functionality in computer assisted language learning applications. This is a young but growing area of research motivated by the large number of students studying foreign languages. Here we propose a Hidden Markov Model (HMM)-based method to detect mispronunciations… (More)
DOI: 10.1109/CISP.2011.6100685

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@article{Ge2011AdaptiveFC, title={Adaptive frequency cepstral coefficients for word mispronunciation detection}, author={Zhenhao Ge and Sudhendu R. Sharma and Mark J. T. Smith}, journal={2011 4th International Congress on Image and Signal Processing}, year={2011}, volume={5}, pages={2388-2391} }