Analysis of relationship between impression of human-to-human conversations and prosodic change and its modeling.

If a dialog system could respond to a user as naturally as a human, the interaction would be smoother. Imitating human prosodic characteristics of utterances is important in computerto-human natural interaction. To develop a cooperative/friendly spoken dialog system, we analyzed the correlation between the fundamental frequency’s synchrony tendency, or overlap frequency, and subjective measures of “liveliness”, “familiarity”, and “informality” in human-to-human dialogs. We also modeled the properties of these features to realize chat-like conversations in our spoken dialog system.