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Speech emotion recognition using hybrid spectral-prosodic features of speech signal/glottal waveform, metaheuristic-based dimensionality reduction, and Gaussian elliptical basis function network classifier
16 references·8 citing·41 second hop
Speech emotion recognition using hybrid spectral-prosodic features of speech signal/glottal waveform, metaheuristic-based dimensionality reduction, and Gaussian elliptical basis function network classifier (2020)Speech emotion recognition using hybrid s…Direct Modelling of Speech Emotion from Raw Speech (2019)Direct Modelling of Speech Em…Speech emotion recognition based on an improved brain emotion learning model (2018)Speech emotion recognition ba…CNN+LSTM Architecture for Speech Emotion Recognition with Data Augmentation (2018)CNN+LSTM Architecture for Spe…3-D Convolutional Recurrent Neural Networks With Attention Model for Speech Emotion Recognition (2018)3-D Convolutional Recurrent N…Speech Emotion Recognition Using Fourier Parameters (2015)Speech Emotion Recognition Us…Learning Salient Features for Speech Emotion Recognition Using Convolutional Neural Networks (2014)Learning Salient Features for…Speech emotion recognition: Features and classification models (2012)Speech emotion recognition: F…Multimodal Emotion Recognition (2010)Multimodal Emotion RecognitionFeature Analysis and Evaluation for Automatic Emotion Identification in Speech (2010)Feature Analysis and Evaluati…IEMOCAP: interactive emotional dyadic motion capture database (2008)IEMOCAP: interactive emotiona…Critical Analysis of the Impact of Glottal Features in the Classification of Clinical Depression in Speech (2007)Critical Analysis of the Impa…Speech emotion recognition based on HMM and SVM (2005)Speech emotion recognition ba…A database of German emotional speech (2005)A database of German emotiona…An acoustic study of emotions expressed in speech (2004)An acoustic study of emotions…Speech emotion recognition using hidden Markov models (2001)Speech emotion recognition us…Exponentiated Gradient versus Gradient Descent for Linear Predictors (1997)Exponentiated Gradient versus…Speech emotion recognition using the novel PEmoNet (Parallel Emotion Network) (2023)Speech emotion recognition us…An efficient speech emotion recognition based on a dual-stream CNN-transformer fusion network (2023)An efficient speech emotion r…A BiLSTM–Transformer and 2D CNN Architecture for Emotion Recognition from Speech (2023)A BiLSTM–Transformer and 2D C…BAT: Block and token self-attention for speech emotion recognition (2022)BAT: Block and token self-att…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 based on formant characteristics feature extraction and phoneme type convergence (2021)Speech emotion recognition ba…Effect on speech emotion classification of a feature selection approach using a convolutional neural network (2021)Effect on speech emotion clas…Speech feature selection and emotion recognition based on weighted binary cuckoo search (2020)Speech feature selection and …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)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)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)A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions (2008)Evaluating deep learning architectures for Speech Emotion Recognition (2017)Speech emotion recognition (2018)Vocal affect expression: A review and a model for future research. (1986)Prevalence, Severity, and Comorbidity of 12-Month DSM-IV Disorders in the National Comorbidity Survey Replication (2005)An investigation of depressed speech detection: features and normalization (2011)Speech emotion recognition approaches in human computer interaction (2011)Multimodal assistive technologies for depression diagnosis and monitoring (2013)Hidden Markov model-based speech emotion recognition (2003)Hidden Markov model-based speech emotion recognition (2003)A Framework for Automatic Human Emotion Classification Using Emotion Profiles (2010)Automatic Speech Emotion Recognition using Support Vector Machine (2011)Speech Emotion Recognition Using Support Vector Machine (2012)Coefficient Alpha and the Internal Structure of Tests (1951)The Hidden Dimension (1973)A review of affective computing: From unimodal analysis to multimodal fusion (2017)Speech emotion recognition using deep 1D & 2D CNN LSTM networks (2018)MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations (2019)Adieu features? End-to-end speech emotion recognition using a deep convolutional recurrent network (2016)A CNN-Assisted Enhanced Audio Signal Processing for Speech Emotion Recognition (2019)Speech Emotion Recognition From 3D Log-Mel Spectrograms With Deep Learning Network (2019)Clustering-Based Speech Emotion Recognition by Incorporating Learned Features and Deep BiLSTM (2020)Online convex optimization in the bandit setting: gradient descent without a gradient (2004)Introduction to Online Convex Optimization (2016)Introduction to Online Convex Optimization (2016)Emotion recognition based on phoneme classes (2004)Extracting moods from pictures and sounds: towards truly personalized TV (2006)
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References

  • 2008IEMOCAP: interactive emotional dyadic motion capture database3,864 cited
  • 2005A database of German emotional speech2,365 cited
  • 1997Exponentiated Gradient versus Gradient Descent for Linear Predictors856 cited
  • 2014Learning Salient Features for Speech Emotion Recognition Using Convolutional Neural Networks567 cited
  • 20183-D Convolutional Recurrent Neural Networks With Attention Model for Speech Emotion Recognition503 cited
  • 2015Speech Emotion Recognition Using Fourier Parameters409 cited
  • 2005Speech emotion recognition based on HMM and SVM274 cited
  • 2012Speech emotion recognition: Features and classification models239 cited
  • 2001Speech emotion recognition using hidden Markov models235 cited
  • 2007Critical Analysis of the Impact of Glottal Features in the Classification of Clinical Depression in Speech220 cited
  • 2018Speech emotion recognition based on an improved brain emotion learning model172 cited
  • 2004An acoustic study of emotions expressed in speech172 cited
  • 2010Feature Analysis and Evaluation for Automatic Emotion Identification in Speech161 cited
  • 2018CNN+LSTM Architecture for Speech Emotion Recognition with Data Augmentation155 cited
  • 2010Multimodal Emotion Recognition

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141 cited
  • 2019Direct Modelling of Speech Emotion from Raw Speech128 cited
  • Cited by

    • 2021Speech emotion recognition based on formant characteristics feature extraction and phoneme type convergence65 cited
    • 2022A Review of AI Cloud and Edge Sensors, Methods, and Applications for the Recognition of Emotional, Affective and Physiological States63 cited
    • 2023A BiLSTM–Transformer and 2D CNN Architecture for Emotion Recognition from Speech44 cited
    • 2022BAT: Block and token self-attention for speech emotion recognition43 cited
    • 2020Speech feature selection and emotion recognition based on weighted binary cuckoo search41 cited
    • 2021Effect on speech emotion classification of a feature selection approach using a convolutional neural network40 cited
    • 2023An efficient speech emotion recognition based on a dual-stream CNN-transformer fusion network39 cited
    • 2023Speech emotion recognition using the novel PEmoNet (Parallel Emotion Network)38 cited