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Deep Mul Timodal Learning for Emotion Recognition in Spoken Language
6 references·4 citing·36 second hop
Deep Mul Timodal Learning for Emotion Recognition in Spoken Language (2018)Deep Mul Timodal Learning for Emotion Rec…Learning Affective Features With a Hybrid Deep Model for Audio–Visual Emotion Recognition (2017)Learning Affective Features W…Speech emotion recognition with acoustic and lexical features (2015)Speech emotion recognition wi…High-level feature representation using recurrent neural network for speech emotion recognition (2015)High-level feature representa…An experimental study of speech emotion recognition based on deep convolutional neural networks (2015)An experimental study of spee…Recognizing Affect from Linguistic Information in 3D Continuous Space (2011)Recognizing Affect from Lingu…IEMOCAP: interactive emotional dyadic motion capture database (2008)IEMOCAP: interactive emotiona…CyTex: Transforming speech to textured images for speech emotion recognition (2022)CyTex: Transforming speech to…Effect on speech emotion classification of a feature selection approach using a convolutional neural network (2021)Effect on speech emotion clas…DNN-based Emotion Recognition Based on Bottleneck Acoustic Features and Lexical Features (2019)DNN-based Emotion Recognition…Human Conversation Analysis Using Attentive Multimodal Networks with Hierarchical Encoder-Decoder (2018)Human Conversation Analysis U…A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions (2008)Survey on speech emotion recognition: Features, classification schemes, and databases (2010)Multimodal Affective Analysis Using Hierarchical Attention Strategy with Word-Level Alignment (2018)Multimodal Approach of Speech Emotion Recognition Using Multi-Level Multi-Head Fusion Attention-Based Recurrent Neural Network (2020)A review of multimodal emotion recognition from datasets, preprocessing, features, and fusion methods (2023)Affective Computing (1997)Emotion recognition in human-computer interaction (2001)A database of German emotional speech (2005)Analysis of Emotional Speech—A Review (2016)Real-time emotional health detection using fine-tuned transfer networks with multimodal fusion (2022)Multimodal Emotion Recognition Based on Cascaded Multichannel and Hierarchical Fusion (2023)Coefficient Alpha and the Internal Structure of Tests (1951)The Hidden Dimension (1973)A review of affective computing: From unimodal analysis to multimodal fusion (2017)Speech emotion recognition using deep 1D & 2D CNN LSTM networks (2018)MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations (2019)Feature Extraction and Selection for Emotion Recognition from EEG (2014)A survey of speech emotion recognition in natural environment (2020)Deep-Net: A Lightweight CNN-Based Speech Emotion Recognition System Using Deep Frequency Features (2020)Survey of Deep Representation Learning for Speech Emotion Recognition (2021)Acoustic profiles in vocal emotion expression. (1996)Speech emotion recognition using hidden Markov models (2003)Multimodal Speech Emotion Recognition Using Audio and Text (2018)A Comprehensive Review of Speech Emotion Recognition Systems (2021)Multimodal Emotion Recognition using Deep Learning (2021)Analysis of emotion recognition using facial expressions, speech and multimodal information (2004)Deep Learning for Human Affect Recognition: Insights and New Developments (2019)MFCC-based Recurrent Neural Network for automatic clinical depression recognition and assessment from speech (2021)Deep learning-based multimodal emotion recognition from audio, visual, and text modalities: A systematic review of recent advancements and future prospects (2023)COVAREP — A collaborative voice analysis repository for speech technologies (2014)Automatic speech emotion recognition using recurrent neural networks with local attention (2017)The Geneva Minimalistic Acoustic Parameter Set (GeMAPS) for Voice Research and Affective Computing (2015)Speech Emotion Recognition Based on Self-Attention Weight Correction for Acoustic and Text Features (2022)TDFNet: Transformer-Based Deep-Scale Fusion Network for Multimodal Emotion Recognition (2023)An argument for basic emotions (1992)Pleasure-arousal-dominance: A general framework for describing and measuring individual differences in Temperament (1996)
this work references cited by second hop

References

  • 2008IEMOCAP: interactive emotional dyadic motion capture database3,864 cited
  • 2015High-level feature representation using recurrent neural network for speech emotion recognition406 cited
  • 2017Learning Affective Features With a Hybrid Deep Model for Audio–Visual Emotion Recognition346 cited
  • 2015An experimental study of speech emotion recognition based on deep convolutional neural networks187 cited
  • 2015Speech emotion recognition with acoustic and lexical features177 cited
  • 2011Recognizing Affect from Linguistic Information in 3D Continuous Space70 cited

Cited by

  • 2019DNN-based Emotion Recognition Based on Bottleneck Acoustic Features and Lexical Features54 cited
  • 2021Effect on speech emotion classification of a feature selection approach using a convolutional neural network40 cited
  • 2018Human Conversation Analysis Using Attentive Multimodal Networks with Hierarchical Encoder-Decoder39 cited
  • 2022CyTex: Transforming speech to textured images for speech emotion recognition37 cited

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