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The present paper describes Japanese and English singing voice synthesis systems based on hidden Markov models (HMMs). In this approach, the spectrum, excitation, and vibrato of the singing voice are simultaneously modeled by context-dependent HMMs, and waveforms are generated by the HMMs themselves. Japanese singing voice synthesis systems have already been developed and used to create variable musical...
In this paper, a novel approach for integrating acoustic modeling and mel-cepstral analysis is proposed. The aim of HMM-based speech synthesis is to model speech waveforms with a statistical model. However, the conventional techniques divide the modeling process into two steps: the frame by frame feature extraction step and the acoustic modeling step. Although it is reasonably effective, the deterioration...
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