M3ER: Multiplicative Multimodal Emotion Recognition Using Facial, Textual, and Speech Cues
national conference on artificial intelligence, 2020.
We present M3ER, a learning-based method for emotion recognition from multiple input modalities. Our approach combines cues from multiple co-occurring modalities (such as face, text, and speech) and also is more robust than other methods to sensor noise in any of the individual modalities. M3ER models a novel, data-driven multiplicative...More
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