Investigating Speech Features for Continuous Turn-Taking Prediction Using LSTMs
Interspeech, pp. 586-590, 2018.
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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