Mengzhe Chen

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In current DNN/HMM hybrid systems, the DNN models are trained by the 1-of-V targets which are obtained by the Viterbi-based forced-alignment. The states are viewed as unrelated and isolated. In fact, some phonemes are acoustically similar. Especially for Chinese, as a tonal language, its number of similar pairs is quadrupled. To add the similarity(More)
This paper presents our recent work on the development of a real world voice retrieval system, which automatically updates language models for a specific domain with the latest web data. Two of the main difficult issues in handling this system are tackled in this paper. First, when people use voice retrieval systems, new created "hot words" are inputted as(More)
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