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Improving Speech Emotion Recognition with Unsupervised Representation Learning on Unlabeled Speech
11 references·16 citing·42 second hopsampled
Improving Speech Emotion Recognition with Unsupervised Representation Learning on Unlabeled Speech (2019)Improving Speech Emotion Recognition with…Speech emotion recognition (2018)Speech emotion recognitionDomain Adversarial for Acoustic Emotion Recognition (2018)Domain Adversarial for Acoust…Attentive Convolutional Neural Network Based Speech Emotion Recognition: A Study on the Impact of Input Features, Signal Length, and Acted Speech (2017)Attentive Convolutional Neura…MSP-IMPROV: An Acted Corpus of Dyadic Interactions to Study Emotion Perception (2016)MSP-IMPROV: An Acted Corpus o…Adieu features? End-to-end speech emotion recognition using a deep convolutional recurrent network (2016)Adieu features? End-to-end sp…The Geneva Minimalistic Acoustic Parameter Set (GeMAPS) for Voice Research and Affective Computing (2015)The Geneva Minimalistic Acous…Speech emotion recognition with acoustic and lexical features (2015)Speech emotion recognition wi…A Multi-Task Learning Framework for Emotion Recognition Using 2D Continuous Space (2015)A Multi-Task Learning Framewo…Context-Sensitive Learning for Enhanced Audiovisual Emotion Classification (2012)Context-Sensitive Learning fo…Acoustic emotion recognition: A benchmark comparison of performances (2009)Acoustic emotion recognition:…IEMOCAP: interactive emotional dyadic motion capture database (2008)IEMOCAP: interactive emotiona…Speech emotion recognition using machine learning — A systematic review (2023)Speech emotion recognition us…Affective Computing: Recent Advances, Challenges, and Future Trends (2023)Affective Computing: Recent A…SMIN: Semi-Supervised Multi-Modal Interaction Network for Conversational Emotion Recognition (2022)SMIN: Semi-Supervised Multi-M…Multimodal Emotion Recognition Using Transfer Learning from Speaker Recognition and BERT-Based Models (2022)Multimodal Emotion Recognitio…GM-TCNet: Gated Multi-scale Temporal Convolutional Network using Emotion Causality for Speech Emotion Recognition (2022)GM-TCNet: Gated Multi-scale T…Speech Emotion Recognition with Multiscale Area Attention and Data Augmentation (2021)Speech Emotion Recognition wi…Speech emotion recognition based on formant characteristics feature extraction and phoneme type convergence (2021)Speech emotion recognition ba…Improved Speech Emotion Recognition using Transfer Learning and Spectrogram Augmentation (2021)Improved Speech Emotion Recog…Head Fusion: Improving the Accuracy and Robustness of Speech Emotion Recognition on the IEMOCAP and RAVDESS Dataset (2021)Head Fusion: Improving the Ac…Autoencoder With Emotion Embedding for Speech Emotion Recognition (2021)Autoencoder With Emotion Embe…Speech Emotion Recognition Using 3D Convolutions and Attention-Based Sliding Recurrent Networks With Auditory Front-Ends (2020)Speech Emotion Recognition Us…Speaker-Invariant Affective Representation Learning via Adversarial Training (2020)Speaker-Invariant Affective R…Multi-Task Semi-Supervised Adversarial Autoencoding for Speech Emotion Recognition (2020)Multi-Task Semi-Supervised Ad…Improve Accuracy of Speech Emotion Recognition with Attention Head Fusion (2020)Improve Accuracy of Speech Em…Impact of Feature Selection Algorithm on Speech Emotion Recognition Using Deep Convolutional Neural Network (2020)Impact of Feature Selection A…A Review of Generalizable Transfer Learning in Automatic Emotion Recognition (2020)A Review of Generalizable Tra…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)Coefficient Alpha and the Internal Structure of Tests (1951)The Hidden Dimension (1973)Affective Computing (1997)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)A database of German emotional speech (2005)The eNTERFACE’05 Audio-Visual Emotion Database (2006)The INTERSPEECH 2009 emotion challenge (2009)Speech emotion recognition approaches in human computer interaction (2011)Towards an intelligent framework for multimodal affective data analysis (2014)Acoustic profiles in vocal emotion expression. (1996)Praat, a system for doing phonetics by computer (2002)End-to-End Multimodal Emotion Recognition Using Deep Neural Networks (2017)Emotion recognition using multi-modal data and machine learning techniques: A tutorial and review (2020)Three dimensions of emotion. (1954)Analysis of emotion recognition using facial expressions, speech and multimodal information (2004)A survey of speech emotion recognition in natural environment (2020)Speech emotion recognition using fusion of three multi-task learning-based classifiers: HSF-DNN, MS-CNN and LLD-RNN (2020)Survey of Deep Representation Learning for Speech Emotion Recognition (2021)A Concordance Correlation Coefficient to Evaluate Reproducibility (1989)Vocal communication of emotion: A review of research paradigms (2003)Automatic speech emotion recognition using recurrent neural networks with local attention (2017)Speech emotion recognition: Emotional models, databases, features, preprocessing methods, supporting modalities, and classifiers (2019)Speech emotion recognition using deep neural network and extreme learning machine (2014)An Attention Pooling Based Representation Learning Method for Speech Emotion Recognition (2018)A Review on Speech Emotion Recognition Using Deep Learning and Attention Mechanism (2021)Cross-Corpus Acoustic Emotion Recognition: Variances and Strategies (2010)Automated emotion recognition: Current trends and future perspectives (2022)Development and validation of brief measures of positive and negative affect: The PANAS scales. (1988)Development and validation of brief measures of positive and negative affect: The PANAS scales. (1988)Emotion Recognition in Immersive Virtual Reality: From Statistics to Affective Computing (2020)A Comprehensive Review of Speech Emotion Recognition Systems (2021)Dawn of the Transformer Era in Speech Emotion Recognition: Closing the Valence Gap (2023)Building Naturalistic Emotionally Balanced Speech Corpus by Retrieving Emotional Speech from Existing Podcast Recordings (2017)K-EmoCon, a multimodal sensor dataset for continuous emotion recognition in naturalistic conversations (2020)Multimodal Emotion Recognition with Deep Learning: Advancements, challenges, and future directions (2023)
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References

  • 2008IEMOCAP: interactive emotional dyadic motion capture database3,864 cited
  • 2015The Geneva Minimalistic Acoustic Parameter Set (GeMAPS) for Voice Research and Affective Computing1,815 cited
  • 2016Adieu features? End-to-end speech emotion recognition using a deep convolutional recurrent network905 cited
  • 2018Speech emotion recognition547 cited
  • 2016MSP-IMPROV: An Acted Corpus of Dyadic Interactions to Study Emotion Perception391 cited
  • 2009Acoustic emotion recognition: A benchmark comparison of performances275 cited
  • 2017Attentive Convolutional Neural Network Based Speech Emotion Recognition: A Study on the Impact of Input Features, Signal Length, and Acted Speech249 cited
  • 2015A Multi-Task Learning Framework for Emotion Recognition Using 2D Continuous Space183 cited
  • 2018Domain Adversarial for Acoustic Emotion Recognition178 cited
  • 2015Speech emotion recognition with acoustic and lexical features177 cited
  • 2012Context-Sensitive Learning for Enhanced Audiovisual Emotion Classification154 cited

Cited by

  • 2023Affective Computing: Recent Advances, Challenges, and Future Trends138 cited
  • 2023Speech emotion recognition using machine learning — A systematic review137 cited
  • 2020Impact of Feature Selection Algorithm on Speech Emotion Recognition Using Deep Convolutional Neural Network

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136 cited
  • 2020Multi-Task Semi-Supervised Adversarial Autoencoding for Speech Emotion Recognition131 cited
  • 2021Head Fusion: Improving the Accuracy and Robustness of Speech Emotion Recognition on the IEMOCAP and RAVDESS Dataset125 cited
  • 2022SMIN: Semi-Supervised Multi-Modal Interaction Network for Conversational Emotion Recognition90 cited
  • 2020Speech Emotion Recognition Using 3D Convolutions and Attention-Based Sliding Recurrent Networks With Auditory Front-Ends82 cited
  • 2020A Review of Generalizable Transfer Learning in Automatic Emotion Recognition81 cited
  • 2021Speech Emotion Recognition with Multiscale Area Attention and Data Augmentation81 cited
  • 2020Improve Accuracy of Speech Emotion Recognition with Attention Head Fusion77 cited
  • 2022Multimodal Emotion Recognition Using Transfer Learning from Speaker Recognition and BERT-Based Models69 cited
  • 2021Autoencoder With Emotion Embedding for Speech Emotion Recognition68 cited
  • 2021Speech emotion recognition based on formant characteristics feature extraction and phoneme type convergence65 cited
  • 2022GM-TCNet: Gated Multi-scale Temporal Convolutional Network using Emotion Causality for Speech Emotion Recognition64 cited
  • 2021Improved Speech Emotion Recognition using Transfer Learning and Spectrogram Augmentation58 cited
  • 2020Speaker-Invariant Affective Representation Learning via Adversarial Training57 cited