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Audio‐Textual Emotion Recognition Based on Improved Neural Networks
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Automatic emotion detection in text streams by analyzing Twitter data
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Context-sensitive learning for enhanced audiovisual emotion classification (Extended abstract)
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Convolutional, Long Short-Term Memory, fully connected Deep Neural Networks
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Long short term memory recurrent neural network based encoding method for emotion recognition in video
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Adieu features? End-to-end speech emotion recognition using a deep convolutional recurrent network
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Deep Mul Timodal Learning for Emotion Recognition in Spoken Language
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Convolutional MKL Based Multimodal Emotion Recognition and Sentiment Analysis
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Audio-Visual Emotion Recognition Using Gaussian Mixture Models for Face and Voice
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End-to-End Multimodal Emotion Recognition Using Deep Neural Networks
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A Novel Speech Emotion Recognition Method via Incomplete Sparse Least Square Regression
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Multimodal Speech Emotion Recognition Using Audio and Text
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Speech emotion recognition using SVM with thresholding fusion
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Feature vector classification based speech emotion recognition for service robots
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Glove: Global Vectors for Word Representation
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Text-Based Intelligent Learning Emotion System
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Unveiling Emotions from Audio: A Multi-model Exploration Leveraging Diverse Datasets
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