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Speech Sentiment Analysis via Pre-Trained Features from End-to-End ASR Models
9 references·1 citing·41 second hopsampled
Speech Sentiment Analysis via Pre-Trained Features from End-to-End ASR Models (2020)Speech Sentiment Analysis via Pre-Trained…Speech Emotion Recognition Using Capsule Networks (2019)Speech Emotion Recognition Us…Speech Emotion Classification Using Attention-Based LSTM (2019)Speech Emotion Classification…Dilated Residual Network with Multi-head Self-attention for Speech Emotion Recognition (2019)Dilated Residual Network with…Attention-augmented End-to-end Multi-task Learning for Emotion Prediction from Speech (2019)Attention-augmented End-to-en…Multimodal Affective Analysis Using Hierarchical Attention Strategy with Word-Level Alignment (2018)Multimodal Affective Analysis…End-to-End Speech Emotion Recognition Using Deep Neural Networks (2018)End-to-End Speech Emotion Rec…Deep Neural Networks for Emotion Recognition Combining Audio and Transcripts (2018)Deep Neural Networks for Emot…An Attention Pooling Based Representation Learning Method for Speech Emotion Recognition (2018)An Attention Pooling Based Re…IEMOCAP: interactive emotional dyadic motion capture database (2008)IEMOCAP: interactive emotiona…Emotion Recognition by Fusing Time Synchronous and Time Asynchronous Representations (2021)Emotion Recognition by Fusing…Coefficient Alpha and the Internal Structure of Tests (1951)The Hidden Dimension (1973)Affective Computing (1997)Speech emotion recognition using deep 1D & 2D CNN LSTM networks (2018)MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations (2019)The Geneva Minimalistic Acoustic Parameter Set (GeMAPS) for Voice Research and Affective Computing (2015)A review of affective computing: From unimodal analysis to multimodal fusion (2017)Attention Driven Fusion for Multi-Modal Emotion Recognition (2020)Multi-Head Attention for Speech Emotion Recognition with Auxiliary Learning of Gender Recognition (2020)Multimodal Emotion Recognition Using Cross-Modal Attention and 1D Convolutional Neural Networks (2020)Speech emotion recognition using deep neural network and extreme learning machine (2014)Adieu features? End-to-end speech emotion recognition using a deep convolutional recurrent network (2016)Learning Alignment for Multimodal Emotion Recognition from Speech (2019)A survey of speech emotion recognition in natural environment (2020)Speech Emotion Recognition with Co-Attention Based Multi-Level Acoustic Information (2022)A circumplex model of affect. (1980)A snapshot research and implementation of multimodal information fusion for data-driven emotion recognition (2019)A Review on Speech Emotion Recognition Using Deep Learning and Attention Mechanism (2021)Leveraging recent advances in deep learning for audio-Visual emotion recognition (2021)Survey on speech emotion recognition: Features, classification schemes, and databases (2010)Head Fusion: Improving the Accuracy and Robustness of Speech Emotion Recognition on the IEMOCAP and RAVDESS Dataset (2021)Speech Emotion Recognition with Multi-Task Learning (2021)Speech Emotion Recognition with Multiscale Area Attention and Data Augmentation (2021)Automatic speech emotion recognition using recurrent neural networks with local attention (2017)A Multi-Scale Fusion Framework for Bimodal Speech Emotion Recognition (2020)LR-GCN: Latent Relation-Aware Graph Convolutional Network for Conversational Emotion Recognition (2021)Multimodal Emotion Recognition With Temporal and Semantic Consistency (2021)Emotion recognition in human-computer interaction (2001)Affect Detection: An Interdisciplinary Review of Models, Methods, and Their Applications (2010)An ensemble 1D-CNN-LSTM-GRU model with data augmentation for speech emotion recognition (2023)Emotion recognition from unimodal to multimodal analysis: A review (2023)End-to-End Multimodal Emotion Recognition Using Deep Neural Networks (2017)Contextual and Cross-Modal Interaction for Multi-Modal Speech Emotion Recognition (2022)Multimodal Emotion Recognition Using Transfer Learning from Speaker Recognition and BERT-Based Models (2022)Semantic Alignment Network for Multi-Modal Emotion Recognition (2023)Information Fusion in Attention Networks Using Adaptive and Multi-Level Factorized Bilinear Pooling for Audio-Visual Emotion Recognition (2021)EESCN: A novel spiking neural network method for EEG-based emotion recognition (2023)EEG-based emotion recognition using multi-scale dynamic CNN and gated transformer (2024)Divide, Conquer and Combine: Hierarchical Feature Fusion Network with Local and Global Perspectives for Multimodal Affective Computing (2019)End-to-end multimodal affect recognition in real-world environments (2020)Behavioral and Physiological Signals-Based Deep Multimodal Approach for Mobile Emotion Recognition (2021)
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References

  • 2008IEMOCAP: interactive emotional dyadic motion capture database3,864 cited
  • 2018End-to-End Speech Emotion Recognition Using Deep Neural Networks289 cited
  • 2019Speech Emotion Classification Using Attention-Based LSTM282 cited
  • 2018An Attention Pooling Based Representation Learning Method for Speech Emotion Recognition185 cited
  • 2018Multimodal Affective Analysis Using Hierarchical Attention Strategy with Word-Level Alignment162 cited
  • 2019Speech Emotion Recognition Using Capsule Networks125 cited
  • 2018Deep Neural Networks for Emotion Recognition Combining Audio and Transcripts100 cited
  • 2019Attention-augmented End-to-end Multi-task Learning for Emotion Prediction from Speech91 cited
  • 2019Dilated Residual Network with Multi-head Self-attention for Speech Emotion Recognition82 cited

Cited by

  • 2021Emotion Recognition by Fusing Time Synchronous and Time Asynchronous Representations69 cited

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