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Multimodal Emotion Recognition Using Cross-Modal Attention and 1D Convolutional Neural Networks

https://doi.org/10.21437/interspeech.2020-1190

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Outgoing claims: the papers this work cites, builds on, or argues with.

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Fully Supervised Speaker Diarization

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Speech emotion recognition based on HMM and SVM

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Multimodal Speech Emotion Recognition Using Audio and Text

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Tensor Fusion Network for Multimodal Sentiment Analysis

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Emotion recognition in spontaneous speech using GMMs

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High-level feature representation using recurrent neural network for speech emotion recognition

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Deep Neural Networks for Emotion Recognition Combining Audio and Transcripts

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Glove: Global Vectors for Word Representation

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What points at this work

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