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A modified feature selection method based on metaheuristic algorithms for speech emotion recognition
16 references·7 citing·34 second hop
A modified feature selection method based on metaheuristic algorithms for speech emotion recognition (2020)A modified feature selection method based…Speech emotion recognition: Emotional models, databases, features, preprocessing methods, supporting modalities, and classifiers (2019)Speech emotion recognition: E…Speech Emotion Recognition From 3D Log-Mel Spectrograms With Deep Learning Network (2019)Speech Emotion Recognition Fr…Speech emotion recognition (2018)Speech emotion recognitionSpeech emotion recognition using deep 1D & 2D CNN LSTM networks (2018)Speech emotion recognition us…Human emotion recognition using deep belief network architecture (2018)Human emotion recognition usi…Databases, features and classifiers for speech emotion recognition: a review (2018)Databases, features and class…Evaluating deep learning architectures for Speech Emotion Recognition (2017)Evaluating deep learning arch…Emotions Recognition Using EEG Signals: A Survey (2017)Emotions Recognition Using EE…Emotion recognition using a hierarchical binary decision tree approach (2011)Emotion recognition using a h…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…Toward detecting emotions in spoken dialogs (2005)Toward detecting emotions in …Emotion recognition in human–computer interaction (2005)Emotion recognition in human–…A database of German emotional speech (2005)A database of German emotiona…Analysis of emotion recognition using facial expressions, speech and multimodal information (2004)Analysis of emotion recogniti…Emotion recognition in human-computer interaction (2001)Emotion recognition in human-…Speech emotion recognition approaches: A systematic review (2023)Speech emotion recognition ap…An efficient feature selection method for arabic and english speech emotion recognition using Grey Wolf Optimizer (2023)An efficient feature selectio…Speech emotion recognition based on convolutional neural network with attention-based bidirectional long short-term memory network and multi-task learning (2022)Speech emotion recognition ba…GM-TCNet: Gated Multi-scale Temporal Convolutional Network using Emotion Causality for Speech Emotion Recognition (2022)GM-TCNet: Gated Multi-scale T…A Review of AI Cloud and Edge Sensors, Methods, and Applications for the Recognition of Emotional, Affective and Physiological States (2022)A Review of AI Cloud and Edge…Speech Emotion Recognition Using Clustering Based GA-Optimized Feature Set (2021)Speech Emotion Recognition Us…Feature Fusion for Multimodal Emotion Recognition Based on Deep Canonical Correlation Analysis (2021)Feature Fusion for Multimodal…Acoustic profiles in vocal emotion expression. (1996)The Geneva Minimalistic Acoustic Parameter Set (GeMAPS) for Voice Research and Affective Computing (2015)The Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS): A dynamic, multimodal set of facial and vocal expressions in North American English (2018)The expression of the emotions in man and animals. (1872)Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research (1975)Emotion And Adaptation (1991)Attention, intentions, and the structure of discourse (1986)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)Speech emotion recognition using deep neural network and extreme learning machine (2014)A review of affective computing: From unimodal analysis to multimodal fusion (2017)Assessing agreement on classification tasks: the kappa statistic (1996)Emotional speech recognition: Resources, features, and methods (2006)Recognising realistic emotions and affect in speech: State of the art and lessons learnt from the first challenge (2011)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)Measuring emotion: The self-assessment manikin and the semantic differential (1994)International affective picture system (IAPS) : affective ratings of pictures and instruction manual (2005)EEG-Based Emotion Recognition Using Regularized Graph Neural Networks (2020)EEG-Based Emotion Recognition via Channel-Wise Attention and Self Attention (2020)A systematic review on affective computing: emotion models, databases, and recent advances (2022)Practical Bayesian Optimization of Machine Learning Algorithms (2012)Speech Emotion Recognition Using Deep Learning Techniques: A Review (2019)Speech emotion recognition with deep convolutional neural networks (2020)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)A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions (2008)A Comprehensive Review of Speech Emotion Recognition Systems (2021)Deep Learning Techniques for Speech Emotion Recognition, from Databases to Models (2021)Emotion Recognition From EEG Using Higher Order Crossings (2009)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)
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References

  • 2008IEMOCAP: interactive emotional dyadic motion capture database3,864 cited
  • 2001Emotion recognition in human-computer interaction2,601 cited
  • 2005A database of German emotional speech2,365 cited
  • 2010Survey on speech emotion recognition: Features, classification schemes, and databases2,076 cited
  • 2017Emotions Recognition Using EEG Signals: A Survey1,199 cited
  • 2018Speech emotion recognition using deep 1D & 2D CNN LSTM networks1,044 cited
  • 2005Toward detecting emotions in spoken dialogs969 cited
  • 2004Analysis of emotion recognition using facial expressions, speech and multimodal information842 cited
  • 2019Speech emotion recognition: Emotional models, databases, features, preprocessing methods, supporting modalities, and classifiers725 cited
  • 2017Evaluating deep learning architectures for Speech Emotion Recognition553 cited
  • 2018Speech emotion recognition547 cited
  • 2005Emotion recognition in human–computer interaction412 cited
  • 2018Databases, features and classifiers for speech emotion recognition: a review356 cited
  • 2019Speech Emotion Recognition From 3D Log-Mel Spectrograms With Deep Learning Network356 cited
  • 2011Emotion recognition using a hierarchical binary decision tree approach

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355 cited
  • 2018Human emotion recognition using deep belief network architecture307 cited
  • Cited by

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    • 2021Speech Emotion Recognition Using Clustering Based GA-Optimized Feature Set64 cited
    • 2022GM-TCNet: Gated Multi-scale Temporal Convolutional Network using Emotion Causality for Speech Emotion Recognition64 cited
    • 2022A Review of AI Cloud and Edge Sensors, Methods, and Applications for the Recognition of Emotional, Affective and Physiological States63 cited
    • 2023An efficient feature selection method for arabic and english speech emotion recognition using Grey Wolf Optimizer60 cited
    • 2021Feature Fusion for Multimodal Emotion Recognition Based on Deep Canonical Correlation Analysis51 cited