Abstract：Prosody boundary plays an important role in naturalness and intelligibility of verbal expressions. Thus, prosody modeling is also an important aspect of speech synthesis and understanding. Focused on the interaction of adjacent tones, we propose a method of prosody boundary detection based on tone nucleus and DNN model. This method calculates the boundary-related parameters by applying the tone nucleus features. Then, the parameters are modeled by the deep neural network. For comparison, the baseline system chooses syllable the acoustic feature. The experimental results show a relative 4% improvement achieved by the proposed method.
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