Analysis on Effects of Text-to-Speech and Avatar Agent in Evoking Users’ Spontaneous Listener’s Reactions
نویسندگان
چکیده
This paper reports an analysis on effect of text-to-speech (TTS) and avatar agent in evoking user’s user’s spontaneous backchannels. We construct an HMMbased dialogue-style TTS system that generates human-like cues that evoke users’ backchannels. We also constructed an avatar agent that can make several listener’s reactions. A spoken dialogue system for information navigation was implemented and was evaluated in terms of evoked user backchannels. We conducted user experiments and the results indicated that (1) the user backchannels evoked by our TTS are more informative for the system in detecting users’ feelings than those by conventional reading-style TTS and (2) use of avatar agent can invite more user backchannels.
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