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Speech emotion recognition via graph-based representations
16 references·0 citing·38 second hop
Speech emotion recognition via graph-based representations (2024)Speech emotion recognition via graph-base…MFCC-based Recurrent Neural Network for automatic clinical depression recognition and assessment from speech (2021)MFCC-based Recurrent Neural N…Improved speech emotion recognition with Mel frequency magnitude coefficient (2021)Improved speech emotion recog…End-to-end multimodal clinical depression recognition using deep neural networks: A comparative analysis (2021)End-to-end multimodal clinica…Cross corpus multi-lingual speech emotion recognition using ensemble learning (2021)Cross corpus multi-lingual sp…Speech Emotion Recognition with Dual-Sequence LSTM Architecture (2020)Speech Emotion Recognition wi…Speech emotion recognition: Emotional models, databases, features, preprocessing methods, supporting modalities, and classifiers (2019)Speech emotion recognition: E…Data Augmentation Using GANs for Speech Emotion Recognition (2019)Data Augmentation Using GANs …A CNN-Assisted Enhanced Audio Signal Processing for Speech Emotion Recognition (2019)A CNN-Assisted Enhanced Audio…Speech emotion recognition using deep 1D & 2D CNN LSTM networks (2018)Speech emotion recognition us…Automatic speech emotion recognition using recurrent neural networks with local attention (2017)Automatic speech emotion reco…The Geneva Minimalistic Acoustic Parameter Set (GeMAPS) for Voice Research and Affective Computing (2015)The Geneva Minimalistic Acous…Speech Emotion Recognition Using CNN (2014)Speech Emotion Recognition Us…Survey on speech emotion recognition: Features, classification schemes, and databases (2010)Survey on speech emotion reco…From time series to complex networks: The visibility graph (2008)From time series to complex n…GMM Supervector Based SVM with Spectral Features for Speech Emotion Recognition (2007)GMM Supervector Based SVM wit…Hidden Markov model-based speech emotion recognition (2003)Hidden Markov model-based spe…Fractals, Chaos, and Power Laws (1992)Modeling bursts and heavy tails in human dynamics (2006)Horizontal visibility graphs: Exact results for random time series (2009)A survey of methods for time series change point detection (2016)Complex network approaches to nonlinear time series analysis (2018)A database of German emotional speech (2005)The Singularity is Near (2014)Deep Learning for Human Affect Recognition: Insights and New Developments (2019)Speech Emotion Recognition From 3D Log-Mel Spectrograms With Deep Learning Network (2019)A Review on Speech Emotion Recognition Using Deep Learning and Attention Mechanism (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)Acoustic profiles in vocal emotion expression. (1996)Praat, a system for doing phonetics by computer (2002)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)IEMOCAP: interactive emotional dyadic motion capture database (2008)Speech emotion recognition using deep neural network and extreme learning machine (2014)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)Practical Bayesian Optimization of Machine Learning Algorithms (2012)Speech emotion recognition with deep convolutional neural networks (2020)The Economic Burden of Adults With Major Depressive Disorder in the United States (2005 and 2010) (2015)A review of affective computing: From unimodal analysis to multimodal fusion (2017)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)Leveraging recent advances in deep learning for audio-Visual emotion recognition (2021)A multimodal fusion model with multi-level attention mechanism for depression detection (2022)Depression Detection From Social Networks Data Based on Machine Learning and Deep Learning Techniques: An Interrogative Survey (2023)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)Enhancements in Immediate Speech Emotion Detection: Harnessing Prosodic and Spectral Characteristics (2024)EmotionSense (2010)Objective measures, sensors and computational techniques for stress recognition and classification: A survey (2012)MLT-DNet: Speech emotion recognition using 1D dilated CNN based on multi-learning trick approach (2020)
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References

  • 2010Survey on speech emotion recognition: Features, classification schemes, and databases2,089 cited
  • 2008From time series to complex networks: The visibility graph1,858 cited
  • 2015The Geneva Minimalistic Acoustic Parameter Set (GeMAPS) for Voice Research and Affective Computing1,815 cited
  • 2018Speech emotion recognition using deep 1D & 2D CNN LSTM networks1,044 cited
  • 2017Automatic speech emotion recognition using recurrent neural networks with local attention769 cited
  • 2019Speech emotion recognition: Emotional models, databases, features, preprocessing methods, supporting modalities, and classifiers725 cited
  • 2003Hidden Markov model-based speech emotion recognition594 cited
  • 2014Speech Emotion Recognition Using CNN416 cited
  • 2019A CNN-Assisted Enhanced Audio Signal Processing for Speech Emotion Recognition393 cited
  • 2021MFCC-based Recurrent Neural Network for automatic clinical depression recognition and assessment from speech290 cited
  • 2007GMM Supervector Based SVM with Spectral Features for Speech Emotion Recognition199 cited
  • 2021Improved speech emotion recognition with Mel frequency magnitude coefficient194 cited
  • 2019Data Augmentation Using GANs for Speech Emotion Recognition162 cited
  • 2020Speech Emotion Recognition with Dual-Sequence LSTM Architecture

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162 cited
  • 2021Cross corpus multi-lingual speech emotion recognition using ensemble learning139 cited
  • 2021End-to-end multimodal clinical depression recognition using deep neural networks: A comparative analysis88 cited
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