Research on robust spoken language interfaces for diverse voice variability and expressivity

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The purpose of the research is to develop techniques that make the human-computer interaction using speech input/output more robust for variations of users' emotional states, speaking styles, preferences, and expressivity. We have proposed techniques using a quantized fundamental frequency prosodic context for robust speech synthesis and an extended context set for spontaneous conversational speech synthesis. We have also proposed techniques for robust speech recognition including extraction of paralinguistic information and rapid model adaptation.