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Speech emotion recognition with acoustic and lexical features
8 references·16 citing·46 second hopsampled
Speech emotion recognition with acoustic and lexical features (2015)Speech emotion recognition with acoustic …Speech emotion recognition: Features and classification models (2012)Speech emotion recognition: F…Recognising realistic emotions and affect in speech: State of the art and lessons learnt from the first challenge (2011)Recognising realistic emotion…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…A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions (2008)A Survey of Affect Recognitio…Toward detecting emotions in spoken dialogs (2005)Toward detecting emotions in …Speech emotion recognition combining acoustic features and linguistic information in a hybrid support vector machine-belief network architecture (2004)Speech emotion recognition co…Acoustical properties of speech as indicators of depression and suicidal risk (2000)Acoustical properties of spee…A review on speech emotion recognition: A survey, recent advances, challenges, and the influence of noise (2023)A review on speech emotion re…A review of multimodal emotion recognition from datasets, preprocessing, features, and fusion methods (2023)A review of multimodal emotio…Survey on bimodal speech emotion recognition from acoustic and linguistic information fusion (2022)Survey on bimodal speech emot…Multimodal Emotion Recognition Using Cross-Modal Attention and 1D Convolutional Neural Networks (2020)Multimodal Emotion Recognitio…Multimodal Approach of Speech Emotion Recognition Using Multi-Level Multi-Head Fusion Attention-Based Recurrent Neural Network (2020)Multimodal Approach of Speech…Speech Emotion Recognition with Heterogeneous Feature Unification of Deep Neural Network (2019)Speech Emotion Recognition wi…Speech Emotion Recognition Using Multi-hop Attention Mechanism (2019)Speech Emotion Recognition Us…Improving Speech Emotion Recognition with Unsupervised Representation Learning on Unlabeled Speech (2019)Improving Speech Emotion Reco…Multimodal Affective Analysis Using Hierarchical Attention Strategy with Word-Level Alignment (2018)Multimodal Affective Analysis…Deep Neural Networks for Emotion Recognition Combining Audio and Transcripts (2018)Deep Neural Networks for Emot…Emotion Recognition from Chinese Speech for Smart Affective Services Using a Combination of SVM and DBN (2017)Emotion Recognition from Chin…A review on emotion recognition using speech (2017)A review on emotion recogniti…Representation Learning for Speech Emotion Recognition (2016)Representation Learning for S…Developing crossmodal expression recognition based on a deep neural model (2016)Developing crossmodal express…Multi-modal Dimensional Emotion Recognition using Recurrent Neural Networks (2015)Multi-modal Dimensional Emoti…Audio-visual emotion recognition using multi-directional regression and Ridgelet transform (2015)Audio-visual emotion recognit…Cognitive representations of semantic categories. (1975)An effect size primer: A guide for clinicians and researchers. (2009)Praat: Doing Phonetics by Computer (2011)Ambulatory Assessment (2012)The INTERSPEECH 2013 computational paralinguistics challenge: social signals, conflict, emotion, autism (2013)Speech Emotion Recognition Using Deep Learning Techniques: A Review (2019)Are there basic emotions? (1992)Affective Computing (1997)Vocal communication of emotion: A review of research paradigms (2003)A novel feature selection method for speech emotion recognition (2018)A Review on Speech Emotion Recognition Using Deep Learning and Attention Mechanism (2021)Improved speech emotion recognition with Mel frequency magnitude coefficient (2021)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)Speech emotion recognition using deep neural network and extreme learning machine (2014)Speech emotion recognition using deep 1D & 2D CNN LSTM networks (2018)Acoustic profiles in vocal emotion expression. 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(1986)Emotional speech: Towards a new generation of databases (2003)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)Affect Detection: An Interdisciplinary Review of Models, Methods, and Their Applications (2010)A Multimodal Database for Affect Recognition and Implicit Tagging (2011)Deep Facial Expression Recognition: A Survey (2020)A review of affective computing: From unimodal analysis to multimodal fusion (2017)Automatic speech emotion recognition using recurrent neural networks with local attention (2017)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)MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations (2019)Automated accurate speech emotion recognition system using twine shuffle pattern and iterative neighborhood component analysis techniques (2020)Multimodal Emotion Recognition With Transformer-Based Self Supervised Feature Fusion (2020)MSER: Multimodal speech emotion recognition using cross-attention with deep fusion (2023)
this work references cited by second hop· second hop is a sample of the most-cited connections

References

  • 2008IEMOCAP: interactive emotional dyadic motion capture database3,864 cited
  • 2008A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions2,797 cited
  • 2010Survey on speech emotion recognition: Features, classification schemes, and databases2,076 cited
  • 2005Toward detecting emotions in spoken dialogs969 cited
  • 2011Recognising realistic emotions and affect in speech: State of the art and lessons learnt from the first challenge760 cited
  • 2000Acoustical properties of speech as indicators of depression and suicidal risk504 cited
  • 2004Speech emotion recognition combining acoustic features and linguistic information in a hybrid support vector machine-belief network architecture438 cited
  • 2012Speech emotion recognition: Features and classification models239 cited

Cited by

  • 2020Multimodal Approach of Speech Emotion Recognition Using Multi-Level Multi-Head Fusion Attention-Based Recurrent Neural Network167 cited
  • 2018Multimodal Affective Analysis Using Hierarchical Attention Strategy with Word-Level Alignment162 cited
  • 2023A review of multimodal emotion recognition from datasets, preprocessing, features, and fusion methods144 cited
  • 2019Improving Speech Emotion Recognition with Unsupervised Representation Learning on Unlabeled Speech140 cited
  • 2019Speech Emotion Recognition Using Multi-hop Attention Mechanism138 cited

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

  • 2017Emotion Recognition from Chinese Speech for Smart Affective Services Using a Combination of SVM and DBN130 cited
  • 2016Representation Learning for Speech Emotion Recognition127 cited
  • 2022Survey on bimodal speech emotion recognition from acoustic and linguistic information fusion116 cited
  • 2017A review on emotion recognition using speech114 cited
  • 2015Multi-modal Dimensional Emotion Recognition using Recurrent Neural Networks112 cited
  • 2018Deep Neural Networks for Emotion Recognition Combining Audio and Transcripts100 cited
  • 2020Multimodal Emotion Recognition Using Cross-Modal Attention and 1D Convolutional Neural Networks97 cited
  • 2023A review on speech emotion recognition: A survey, recent advances, challenges, and the influence of noise94 cited
  • 2019Speech Emotion Recognition with Heterogeneous Feature Unification of Deep Neural Network84 cited
  • 2016Developing crossmodal expression recognition based on a deep neural model72 cited
  • 2015Audio-visual emotion recognition using multi-directional regression and Ridgelet transform68 cited