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Two-stage dimensional emotion recognition by fusing predictions of acoustic and text networks using SVM
16 references·0 citing·40 second hop
Two-stage dimensional emotion recognition by fusing predictions of acoustic and text networks using SVM (2020)Two-stage dimensional emotion recognition…Multimodal Speech Emotion Recognition Using Audio and Text (2018)Multimodal Speech Emotion Rec…Domain Adversarial for Acoustic Emotion Recognition (2018)Domain Adversarial for Acoust…AVEC 2018 Workshop and Challenge (2018)AVEC 2018 Workshop and Challe…Multimodal Multi-task Learning for Dimensional and Continuous Emotion Recognition (2017)Multimodal Multi-task Learnin…Evaluating deep learning architectures for Speech Emotion Recognition (2017)Evaluating deep learning arch…Building Naturalistic Emotionally Balanced Speech Corpus by Retrieving Emotional Speech from Existing Podcast Recordings (2017)Building Naturalistic Emotion…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…Survey on speech emotion recognition: Features, classification schemes, and databases (2010)Survey on speech emotion reco…IEMOCAP: interactive emotional dyadic motion capture database (2008)IEMOCAP: interactive emotiona…The World of Emotions is not Two-Dimensional (2007)The World of Emotions is not …Primitives-based evaluation and estimation of emotions in speech (2007)Primitives-based evaluation a…EMOTION IN SPEECH: RECOGNITION AND APPLICATION TO CALL CENTERS (1999)EMOTION IN SPEECH: RECOGNITIO…A circumplex model of affect. (1980)A circumplex model of affect.An approach to environmental psychology (1974)An approach to environmental …The expression of the emotions in man and animals. (1872)The expression of the emotion…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)The Principles of Psychology (1891)Hedges: A Study in Meaning Criteria and the Logic of Fuzzy Concepts (1975)The robust beauty of improper linear models in decision making. (1979)Development and validation of brief measures of positive and negative affect: The PANAS scales. (1988)Measuring emotion: The self-assessment manikin and the semantic differential (1994)The Repertoire of Nonverbal Behavior: Categories, Origins, Usage, and Coding (1969)The dynamic architecture of emotion: Evidence for the component process model (2009)Linguistic Inquiry and Word Count (LIWC) (2012)Identifying Stable Patterns over Time for Emotion Recognition from EEG (2017)Acoustic profiles in vocal emotion expression. (1996)Praat, a system for doing phonetics by computer (2002)A database of German emotional speech (2005)Adieu features? End-to-end speech emotion recognition using a deep convolutional recurrent network (2016)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)Speech emotion recognition using deep neural network and extreme learning machine (2014)Automatic speech emotion recognition using recurrent neural networks with local attention (2017)MLT-DNet: Speech emotion recognition using 1D dilated CNN based on multi-learning trick approach (2020)Deep learning based multimodal emotion recognition using model-level fusion of audio–visual modalities (2022)Multimodal Emotion Recognition with Deep Learning: Advancements, challenges, and future directions (2023)Evidence for a three-factor theory of emotions (1977)Seeking the Ideal Form: Product Design and Consumer Response (1995)Core affect and the psychological construction of emotion. (2003)Attachment and Loss (1969)Emotional Intelligence (1990)Culture and the Self: Implications for Cognition, Emotion, and Motivation (1991)Emotion recognition using deep learning approach from audio–visual emotional big data (2018)A CNN-Assisted Enhanced Audio Signal Processing for Speech Emotion Recognition (2019)Emotion recognition and artificial intelligence: A systematic review (2014–2023) and research recommendations (2023)A Review on Speech Emotion Recognition Using Deep Learning and Attention Mechanism (2021)Emotion recognition from unimodal to multimodal analysis: A review (2023)
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References

  • 1980A circumplex model of affect.16,320 cited
  • 1872The expression of the emotions in man and animals.12,119 cited
  • 1974An approach to environmental psychology7,295 cited
  • 2008IEMOCAP: interactive emotional dyadic motion capture database3,864 cited
  • 2010Survey on speech emotion recognition: Features, classification schemes, and databases2,076 cited
  • 2015The Geneva Minimalistic Acoustic Parameter Set (GeMAPS) for Voice Research and Affective Computing1,815 cited
  • 2007The World of Emotions is not Two-Dimensional1,179 cited
  • 2017Evaluating deep learning architectures for Speech Emotion Recognition553 cited
  • 2018Multimodal Speech Emotion Recognition Using Audio and Text379 cited
  • 2017Building Naturalistic Emotionally Balanced Speech Corpus by Retrieving Emotional Speech from Existing Podcast Recordings331 cited
  • 2007Primitives-based evaluation and estimation of emotions in speech291 cited
  • 1999EMOTION IN SPEECH: RECOGNITION AND APPLICATION TO CALL CENTERS276 cited
  • 2018Domain Adversarial for Acoustic Emotion Recognition178 cited
  • 2015Speech emotion recognition with acoustic and lexical features177 cited
  • 2018AVEC 2018 Workshop and Challenge

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148 cited
  • 2017Multimodal Multi-task Learning for Dimensional and Continuous Emotion Recognition147 cited
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