Prosodic variation enhancement using unsupervised context labeling for HMM-based expressive speech synthesis
We propose a technique for adding prosodic variations in HMM-based speech synthesis. Phrase-level contexts are defined that compensate the lack of prosodic variations. Average prosodic difference between original and synthetic speech is used. Expressive speech of sales talk and fairy tale is used for evaluation. Users can manually change phrase-level pitch without degrading naturalness.
hmm-based expressive speech synthesis prosodic context unsupervised labeling audiobook prosody control