Dyadic Speech-based Affect Recognition using DAMI-P2C Parent-child Multimodal Interaction Dataset
ICMI '20: INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION Virtual Event Netherlands October, 2020, pp. 97-106, 2020.
Automatic speech-based affect recognition of individuals in dyadic conversation is a challenging task, in part because of its heavy reliance on manual pre-processing. Traditional approaches frequently require hand-crafted speech features and segmentation of speaker turns. In this work, we design end-to-end deep learning methods to recogni...More
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