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Soft-Target Training with Ambiguous Emotional Utterances for DNN-Based Speech Emotion Classification
11 references·0 citing·36 second hop
Soft-Target Training with Ambiguous Emotional Utterances for DNN-Based Speech Emotion Classification (2018)Soft-Target Training with Ambiguous Emoti…Automatic speech emotion recognition using recurrent neural networks with local attention (2017)Automatic speech emotion reco…Modeling subjectiveness in emotion recognition with deep neural networks: Ensembles vs soft labels (2016)Modeling subjectiveness in em…Attention Assisted Discovery of Sub-Utterance Structure in Speech Emotion Recognition (2016)Attention Assisted Discovery …High-level feature representation using recurrent neural network for speech emotion recognition (2015)High-level feature representa…Speech emotion recognition using deep neural network and extreme learning machine (2014)Speech emotion recognition us…Survey on speech emotion recognition: Features, classification schemes, and databases (2010)Survey on speech emotion reco…Interpreting ambiguous emotional expressions (2009)Interpreting ambiguous emotio…IEMOCAP: interactive emotional dyadic motion capture database (2008)IEMOCAP: interactive emotiona…Two-stream emotion recognition for call center monitoring (2007)Two-stream emotion recognitio…"Of All Things the Measure Is Man" : Automatic Classification of Emotions and Inter-Labeler Consistency (2006)"Of All Things the Measure Is…Acoustic profiles in vocal emotion expression. (1996)Acoustic profiles in vocal em…Attention, intentions, and the structure of discourse (1986)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)Emotion recognition in human-computer interaction (2001)A review of affective computing: From unimodal analysis to multimodal fusion (2017)Speech emotion recognition using deep 1D & 2D CNN LSTM networks (2018)Coefficient Alpha and the Internal Structure of Tests (1951)The Hidden Dimension (1973)Affective Computing (1997)MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations (2019)How to find trouble in communication (2003)“You Stupid Tin Box” - Children Interacting with the AIBO Robot: A Cross-linguistic Emotional Speech Corpus (2004)Detecting real life anger (2009)The Automatic Recognition of Emotions in Speech (2010)Core affect, prototypical emotional episodes, and other things called emotion: Dissecting the elephant. (1999)Correcting Time-Continuous Emotional Labels by Modeling the Reaction Lag of Evaluators (2014)Towards a Small Set of Robust Acoustic Features for Emotion Recognition: Challenges (2015)Curriculum Learning for Speech Emotion Recognition From Crowdsourced Labels (2019)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)Toward detecting emotions in spoken dialogs (2005)Attention-Enhanced Connectionist Temporal Classification for Discrete Speech Emotion Recognition (2019)Revisiting Hidden Markov Models for Speech Emotion Recognition (2019)Speech Emotion Recognition Using 3D Convolutions and Attention-Based Sliding Recurrent Networks With Auditory Front-Ends (2020)Emotion knowledge: Further exploration of a prototype approach. (1987)Learning emotion-discriminative and domain-invariant features for domain adaptation in speech emotion recognition (2017)Every Rating Matters: Joint Learning of Subjective Labels and Individual Annotators for Speech Emotion Classification (2019)Multi-Classifier Interactive Learning for Ambiguous Speech Emotion Recognition (2022)Adieu features? End-to-end speech emotion recognition using a deep convolutional recurrent network (2016)Speech Emotion Recognition Using Deep Learning Techniques: A Review (2019)A systematic review on affective computing: emotion models, databases, and recent advances (2022)End-to-End Multimodal Emotion Recognition Using Deep Neural Networks (2017)Speech emotion recognition: Emotional models, databases, features, preprocessing methods, supporting modalities, and classifiers (2019)Toward machine emotional intelligence: analysis of affective physiological state (2001)A database of German emotional speech (2005)
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References

  • 2008IEMOCAP: interactive emotional dyadic motion capture database3,864 cited
  • 1996Acoustic profiles in vocal emotion expression.2,257 cited
  • 2010Survey on speech emotion recognition: Features, classification schemes, and databases2,076 cited
  • 2014Speech emotion recognition using deep neural network and extreme learning machine822 cited
  • 2017Automatic speech emotion recognition using recurrent neural networks with local attention769 cited
  • 2015High-level feature representation using recurrent neural network for speech emotion recognition406 cited
  • 2009Interpreting ambiguous emotional expressions129 cited
  • 2006"Of All Things the Measure Is Man" : Automatic Classification of Emotions and Inter-Labeler Consistency96 cited
  • 2016Attention Assisted Discovery of Sub-Utterance Structure in Speech Emotion Recognition89 cited
  • 2016Modeling subjectiveness in emotion recognition with deep neural networks: Ensembles vs soft labels73 cited
  • 2007Two-stream emotion recognition for call center monitoring60 cited

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