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In this paper, we investigate some specific acoustic problems of the computer assisted language learning (CALL) system by modifying the acoustic model and feature under the speech recognition framework. At first, in order to alleviate the distortion of channel and speaker, speaker-dependent Cepstrum Mean Normalization (Speaker CMN) is adopted, by which the average correlation coefficient (ACC) between...
This paper constructs a reading miscue detection system based on conventional large vocabulary continuous speech recognition (LVCSR) framework. In order to incorporate the knowledge of reference (what the reader ought to read) and some error patterns into the decoding process, two methods are proposed: dynamic interpolation of language model (DILM) and dynamic multiple pronunciation incorporation...
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