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Context modelling in HMM based speech synthesis

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If you have a question about this talk, please contact Kai Yu.

The use of rich contexts is one of the main differences of HMM based speech synthesis compared to speech recognition. The most widely used modelling approach is context-dependent HMM with parameter sharing. This talk will discuss the nature of contexts and several structured approaches for modelling rich contexts.

This talk is part of the speech synthesis seminar series series.

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