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This paper describes new methods of minimum generation error (MGE) training in HMM-based speech synthesis by introducing the error component of dynamic features into the generation error function. We propose two methods for setting the weight associated with the additional error component. In fixed weighting approach, this weight is kept constant over the course of speech. In adaptive weighting approach,...
This paper describes a modified GMM based voice conversion method,in order to avoid the over-smoothed phenomena of traditional GMM conversion method, we adopt GMM method considering posterior threshold of each frame. We also considered the dynamic spectral features between frames to overcome the speech discontinuity problem,experiments show that our presented GMM method has shown better performance...
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