Method and apparatus for training difference prosody adaptation model, method and apparatus for generating difference prosody adaptation model, method and apparatus for prosody prediction, method and apparatus for speech synthesis

A method for training a difference prosody adaptation model, comprising:

• representing a difference prosody vector with duration and coefficients of F0 orthogonal polynomial;
• for each parameter of the prosody vector,
• generating an initial parameter prediction model with a plurality of attributes related to difference prosody prediction and at least part of attribute combinations of the plurality of attributes, in which each of the plurality of attributes and the attribute combinations is included as an item;
• calculating importance of each item in the parameter prediction model;
• deleting the item having the lowest importance calculated;
• re-generating a parameter prediction model with the remaining items;
• determining whether the re-generated parameter prediction model is an optimal model;
• and
• repeating the step of calculating importance, the step of deleting the item, the step of re-generating a parameter prediction model and the step of determining whether the re-generated parameter prediction model is an optimal model, with the re-generated parameter prediction model, if the re-generated parameter prediction model is determined as not an optimal model;
• wherein the difference prosody vector and all parameter prediction models of the difference prosody vector constitute the difference prosody adaptation model.