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Emotion recognition in speech signals using optimization based multi-SVNN classifier
16 references·1 citing·45 second hopsampled
Emotion recognition in speech signals using optimization based multi-SVNN classifier (2018)Emotion recognition in speech signals usi…Vocal-based emotion recognition using random forests and decision tree (2017)Vocal-based emotion recogniti…Speech emotion recognition with deep learning (2017)Speech emotion recognition wi…Speech Emotion Recognition Using Deep Convolutional Neural Network and Discriminant Temporal Pyramid Matching (2017)Speech Emotion Recognition Us…Semisupervised Autoencoders for Speech Emotion Recognition (2017)Semisupervised Autoencoders f…Prominence features: Effective emotional features for speech emotion recognition (2017)Prominence features: Effectiv…Efficiency of chosen speech descriptors in relation to emotion recognition (2017)Efficiency of chosen speech d…Deep features-based speech emotion recognition for smart affective services (2017)Deep features-based speech em…Deep convolutional recurrent neural network with attention mechanism for robust speech emotion recognition (2017)Deep convolutional recurrent …Automatic speech emotion recognition using recurrent neural networks with local attention (2017)Automatic speech emotion reco…A novel Adaptive Fractional Deep Belief Networks for speaker emotion recognition (2016)A novel Adaptive Fractional D…Weighted spectral features based on local Hu moments for speech emotion recognition (2015)Weighted spectral features ba…Speech Emotion Recognition Using Fourier Parameters (2015)Speech Emotion Recognition Us…Speaker-sensitive emotion recognition via ranking: Studies on acted and spontaneous speech (2014)Speaker-sensitive emotion rec…Learning Salient Features for Speech Emotion Recognition Using Convolutional Neural Networks (2014)Learning Salient Features for…Emotion recognition from spontaneous speech using Hidden Markov models with deep belief networks (2013)Emotion recognition from spon…Features and classifiers for emotion recognition from speech: a survey from 2000 to 2011 (2012)Features and classifiers for …EmNet: a deep integrated convolutional neural network for facial emotion recognition in the wild (2021)EmNet: a deep integrated conv…The INTERSPEECH 2009 emotion challenge (2009)Recognising realistic emotions and affect in speech: State of the art and lessons learnt from the first challenge (2011)Deep learning for robust feature generation in audiovisual emotion recognition (2013)A Weakly Supervised Learning Framework for Detecting Social Anxiety and Depression (2018)Learning Temporal Clusters Using Capsule Routing for Speech Emotion Recognition (2019)Emotion recognition using speech and neural structured learning to facilitate edge intelligence (2020)Emotion recognition in human-computer interaction (2001)A database of German emotional speech (2005)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 Cognitive Structure of Emotions (1988)Affect Grid: A single-item scale of pleasure and arousal. (1989)A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions (2008)Facial emotion recognition using deep learning: review and insights (2020)Speech emotion recognition using hidden Markov models (2003)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)Visual-audio emotion recognition based on multi-task and ensemble learning with multiple features (2020)Two-Way Feature Extraction for Speech Emotion Recognition Using Deep Learning (2022)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)Speech emotion recognition: Emotional models, databases, features, preprocessing methods, supporting modalities, and classifiers (2019)A systematic review on affective computing: emotion models, databases, and recent advances (2022)The eNTERFACE’05 Audio-Visual Emotion Database (2006)The Geneva Minimalistic Acoustic Parameter Set (GeMAPS) for Voice Research and Affective Computing (2015)Exploring Spatio-Temporal Representations by Integrating Attention-based Bidirectional-LSTM-RNNs and FCNs for Speech Emotion Recognition (2018)Learning deep multimodal affective features for spontaneous speech emotion recognition (2020)A review on speech emotion recognition: A survey, recent advances, challenges, and the influence of noise (2023)Affect Detection: An Interdisciplinary Review of Models, Methods, and Their Applications (2010)Multi-Task Semi-Supervised Adversarial Autoencoding for Speech Emotion Recognition (2020)Semi-Supervised Speech Emotion Recognition With Ladder Networks (2020)A systematic literature review of speech emotion recognition approaches (2022)Acoustic profiles in vocal emotion expression. (1996)3D CNN-Based Speech Emotion Recognition Using K-Means Clustering and Spectrograms (2019)A survey of speech emotion recognition in natural environment (2020)Deep-Net: A Lightweight CNN-Based Speech Emotion Recognition System Using Deep Frequency Features (2020)Evaluating deep learning architectures for Speech Emotion Recognition (2017)3-D Convolutional Recurrent Neural Networks With Attention Model for Speech Emotion Recognition (2018)Speech emotion recognition (2018)A CNN-Assisted Enhanced Audio Signal Processing for Speech Emotion Recognition (2019)Clustering-Based Speech Emotion Recognition by Incorporating Learned Features and Deep BiLSTM (2020)Deep Learning Techniques for Speech Emotion Recognition, from Databases to Models (2021)
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References

  • 2017Automatic speech emotion recognition using recurrent neural networks with local attention769 cited
  • 2014Learning Salient Features for Speech Emotion Recognition Using Convolutional Neural Networks567 cited
  • 2017Speech Emotion Recognition Using Deep Convolutional Neural Network and Discriminant Temporal Pyramid Matching443 cited
  • 2012Features and classifiers for emotion recognition from speech: a survey from 2000 to 2011428 cited
  • 2015Speech Emotion Recognition Using Fourier Parameters409 cited
  • 2017Deep features-based speech emotion recognition for smart affective services182 cited
  • 2017Semisupervised Autoencoders for Speech Emotion Recognition153 cited
  • 2017Deep convolutional recurrent neural network with attention mechanism for robust speech emotion recognition129 cited
  • 2017Vocal-based emotion recognition using random forests and decision tree120 cited
  • 2013Emotion recognition from spontaneous speech using Hidden Markov models with deep belief networks119 cited
  • 2014Speaker-sensitive emotion recognition via ranking: Studies on acted and spontaneous speech118 cited
  • 2015Weighted spectral features based on local Hu moments for speech emotion recognition107 cited
  • 2017Speech emotion recognition with deep learning107 cited
  • 2016A novel Adaptive Fractional Deep Belief Networks for speaker emotion recognition

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80 cited
  • 2017Prominence features: Effective emotional features for speech emotion recognition60 cited
  • 2017Efficiency of chosen speech descriptors in relation to emotion recognition53 cited
  • Cited by

    • 2021EmNet: a deep integrated convolutional neural network for facial emotion recognition in the wild46 cited