A DNN-based acoustic modeling of tonal language and its application to Mandarin pronunciation training


In this paper we investigate a Deep Neural Network (DNN) based approach to acoustic modeling of tonal language and assess its speech recognition performance with different features and modeling techniques. Mandarin Chinese, the most widely spoken tonal language, is chosen for testing the tone related ASR performance. Furthermore, the DNN-trained, tone… (More)
DOI: 10.1109/ICASSP.2014.6854192


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