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A feature selection model for speech emotion recognition using clustering-based population generation with hybrid of equilibrium optimizer and atom search optimization algorithm
16 references·0 citing·38 second hop
A feature selection model for speech emotion recognition using clustering-based population generation with hybrid of equilibrium optimizer and atom search optimization algorithm (2022)A feature selection model for speech emot…Speech emotion recognition with deep convolutional neural networks (2020)Speech emotion recognition wi…Two-layer fuzzy multiple random forest for speech emotion recognition in human-robot interaction (2019)Two-layer fuzzy multiple rand…Direct Modelling of Speech Emotion from Raw Speech (2019)Direct Modelling of Speech Em…3D CNN-Based Speech Emotion Recognition Using K-Means Clustering and Spectrograms (2019)3D CNN-Based Speech Emotion R…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 Ryerson Audio-Visual Data…Speech emotion recognition using deep 1D & 2D CNN LSTM networks (2018)Speech emotion recognition us…Speech emotion recognition based on an improved brain emotion learning model (2018)Speech emotion recognition ba…Evaluating deep learning architectures for Speech Emotion Recognition (2017)Evaluating deep learning arch…Automated Depression Diagnosis Based on Deep Networks to Encode Facial Appearance and Dynamics (2017)Automated Depression Diagnosi…An Image-based Deep Spectrum Feature Representation for the Recognition of Emotional Speech (2017)An Image-based Deep Spectrum …A new hybrid PSO assisted biogeography-based optimization for emotion and stress recognition from speech signal (2016)A new hybrid PSO assisted bio…Speech Emotion Recognition Using Fourier Parameters (2015)Speech Emotion Recognition Us…IEMOCAP: interactive emotional dyadic motion capture database (2008)IEMOCAP: interactive emotiona…A database of German emotional speech (2005)A database of German emotiona…Speech emotion recognition using hidden Markov models (2003)Speech emotion recognition us…Hidden Markov model-based speech emotion recognition (2003)Hidden Markov model-based spe…The phonetic description of voice quality (1980)Acoustic profiles in vocal emotion expression. (1996)A new emotion database: considerations, sources and scope (2000)The Geneva Minimalistic Acoustic Parameter Set (GeMAPS) for Voice Research and Affective Computing (2015)Emotion recognition in human-computer interaction (2001)Survey on speech emotion recognition: Features, classification schemes, and databases (2010)Speech emotion recognition based on feature selection and extreme learning machine decision tree (2017)Databases, features and classifiers for speech emotion recognition: a review (2018)Speech Emotion Classification Using Attention-Based LSTM (2019)The expression of the emotions in man and animals. (1872)Vocal affect expression: A review and a model for future research. (1986)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)A review of affective computing: From unimodal analysis to multimodal fusion (2017)MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations (2019)Comparison of Beck Depression Inventories-IA and-II in Psychiatric Outpatients (1996)The Epidemiology of Major Depressive Disorder (2003)AVEC 2013 (2013)Automatic Assessment of Depression Based on Visual Cues: A Systematic Review (2017)Automated depression analysis using convolutional neural networks from speech (2018)Deep learning for depression recognition with audiovisual cues: A review (2021)The Measurement of Observer Agreement for Categorical Data (1977)Intraclass correlations: Uses in assessing rater reliability. (1979)A Guideline of Selecting and Reporting Intraclass Correlation Coefficients for Reliability Research (2016)Enhancements in Immediate Speech Emotion Detection: Harnessing Prosodic and Spectral Characteristics (2024)Practical Bayesian Optimization of Machine Learning Algorithms (2012)Speech Emotion Recognition Using Deep Learning Techniques: A Review (2019)Speech emotion recognition: Emotional models, databases, features, preprocessing methods, supporting modalities, and classifiers (2019)EmotionSense (2010)Objective measures, sensors and computational techniques for stress recognition and classification: A survey (2012)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)Emotion Recognition from Speech Using wav2vec 2.0 Embeddings (2021)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
  • 2005A database of German emotional speech2,370 cited
  • 2018The Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS): A dynamic, multimodal set of facial and vocal expressions in North American English1,898 cited
  • 2018Speech emotion recognition using deep 1D & 2D CNN LSTM networks1,044 cited
  • 2003Speech emotion recognition using hidden Markov models924 cited
  • 2020Speech emotion recognition with deep convolutional neural networks621 cited
  • 2003Hidden Markov model-based speech emotion recognition594 cited
  • 2017Evaluating deep learning architectures for Speech Emotion Recognition553 cited
  • 2015Speech Emotion Recognition Using Fourier Parameters409 cited
  • 2017Automated Depression Diagnosis Based on Deep Networks to Encode Facial Appearance and Dynamics260 cited
  • 2019Two-layer fuzzy multiple random forest for speech emotion recognition in human-robot interaction195 cited
  • 2018Speech emotion recognition based on an improved brain emotion learning model172 cited
  • 2017An Image-based Deep Spectrum Feature Representation for the Recognition of Emotional Speech157 cited
  • 20193D CNN-Based Speech Emotion Recognition Using K-Means Clustering and Spectrograms157 cited

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  • 2019Direct Modelling of Speech Emotion from Raw Speech128 cited
  • 2016A new hybrid PSO assisted biogeography-based optimization for emotion and stress recognition from speech signal123 cited
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