Japanese conversation corpus for training and evaluation of backchannel prediction model.

In this paper, we propose an experimental method for building a specialized corpus for training and evaluating backchannel prediction models of spoken dialogue. To develop a backchannel prediction model using a machine learning technique, it is necessary to discriminate between the timings of the interlocutor Â’s speech when more listeners commonly respond with backchannels and the timings when fewer listeners do so... (read more)

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