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This paper presents a product-of-expert framework to perform probabilistic acoustic mapping for cross-lingual phone recognition. Under this framework, the posterior probabilities of the target HMM states are modelled as the weighted product of experts, where the experts or their weights are modelled as functions of the posterior probabilities of the source HMM states generated by a foreign phone recogniser...
Acoustic confusions degrade the accuracy of pronunciation assessment severely in computer assisted language learning (CALL) systems. This paper presents our recent study on effective modeling of the acoustic confusions. We change the traditional Mandarin syllable structure, which is composed of initial and final, to a novel phoneme structure. Several phoneme splitting strategies are investigated,...
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