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› Forums › Speech Synthesis › HMM synthesis › Phonetic Decision Trees
If multiple models end up at a single leaf of a phonetic decision tree, and we want to combine them into a single model with shared parameters, does the single model have parameters that are the average of the parameter values of all the models at the leaf?
Yes, that’s the correct idea.
In fact we don’t actually average the model parameters, but instead we pool all the training data associated with those models and use that to train a new, single model. Averaging the model parameters would be incorrect because it wouldn’t account for the fact that each was trained on a different amount of data.
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