Investigating Speech Features for Continuous Turn-Taking Prediction Using LSTMs

Matthew Roddy
Matthew Roddy

Interspeech, pp. 586-590, 2018.

Cited by: 10|Views0
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Abstract:

For spoken dialog systems to conduct fluid conversational interactions with users, the systems must be sensitive to turn-taking cues produced by a user. Models should be designed so that effective decisions can be made as to when it is appropriate, or not, for the system to speak. Traditional end-of-turn models, where decisions are made a...More

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