huang16@interspeech_2016@ISCA

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#1 Conversational Engagement Recognition Using Auditory and Visual Cues [PDF] [Copy] [Kimi1] [REL]

Authors: Yuyun Huang, Emer Gilmartin, Nick Campbell

Automatic prediction of engagement in human-human and human-machine dyadic and multiparty interaction scenarios could greatly aid in evaluation of the success of communication. A corpus of eight face-to-face dyadic casual conversations was recorded and used as the basis for an engagement study, which examined the effectiveness of several methods of engagement level recognition. A convolutional neural network based analysis was seen to be the most effective.