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Variational mode decomposition based acoustic and entropy features for speech emotion recognition
16 references·0 citing·34 second hop
Variational mode decomposition based acoustic and entropy features for speech emotion recognition (2023)Variational mode decomposition based acou…Hybrid LSTM-Transformer Model for Emotion Recognition From Speech Audio Files (2022)Hybrid LSTM-Transformer Model…Improved speech emotion recognition with Mel frequency magnitude coefficient (2021)Improved speech emotion recog…Head Fusion: Improving the Accuracy and Robustness of Speech Emotion Recognition on the IEMOCAP and RAVDESS Dataset (2021)Head Fusion: Improving the Ac…Emotion classification from speech signal based on empirical mode decomposition and non-linear features (2021)Emotion classification from s…Speech emotion recognition with deep convolutional neural networks (2020)Speech emotion recognition wi…Feature extraction algorithms to improve the speech emotion recognition rate (2020)Feature extraction algorithms…Automated accurate speech emotion recognition system using twine shuffle pattern and iterative neighborhood component analysis techniques (2020)Automated accurate speech emo…A survey of speech emotion recognition in natural environment (2020)A survey of speech emotion re…A Novel Approach for Classification of Speech Emotions Based on Deep and Acoustic Features (2020)A Novel Approach for Classifi…Learning Temporal Clusters Using Capsule Routing for Speech Emotion Recognition (2019)Learning Temporal Clusters Us…Bagged support vector machines for emotion recognition from speech (2019)Bagged support vector machine…Speech emotion recognition using deep 1D & 2D CNN LSTM networks (2018)Speech emotion recognition us…Speech Emotion Recognition from Spectrograms with Deep Convolutional Neural Network (2017)Speech Emotion Recognition fr…Speech Emotion Recognition Using Fourier Parameters (2015)Speech Emotion Recognition Us…Time-Frequency Feature and AMS-GMM Mask for Acoustic Emotion Classification (2014)Time-Frequency Feature and AM…Approximate entropy as a measure of system complexity. (1991)Approximate entropy as a meas…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)Learning Salient Features for Speech Emotion Recognition Using Convolutional Neural Networks (2014)Multimodal Speech Emotion Recognition Using Audio and Text (2018)Deep Learning for Human Affect Recognition: Insights and New Developments (2019)A Comprehensive Review of Speech Emotion Recognition Systems (2021)IEMOCAP: interactive emotional dyadic motion capture database (2008)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)The role of voice quality in communicating emotion, mood and attitude (2003)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)Multimodal Emotion Recognition on RAVDESS Dataset Using Transfer Learning (2021)An ensemble 1D-CNN-LSTM-GRU model with data augmentation for speech emotion recognition (2023)Speech emotion recognition (2018)RETRACTED ARTICLE: Speech Emotion Recognition: A Comprehensive Survey (2023)Speech Emotion Recognition through Hybrid Features and Convolutional Neural Network (2023)End-to-End Speech Emotion Recognition Using Deep Neural Networks (2018)An ongoing review of speech emotion recognition (2023)Multimodal Emotion Recognition Based on Facial Expressions, Speech, and EEG (2023)Speech emotion recognition using MFCC-based entropy feature (2023)Measuring complexity using FuzzyEn, ApEn, and SampEn (2008)Electroencephalogram and electrocardiograph assessment of mental fatigue in a driving simulator (2011)Emotion recognition using multi-modal data and machine learning techniques: A tutorial and review (2020)Emotion Recognition from Speech Using wav2vec 2.0 Embeddings (2021)Emotion recognition and artificial intelligence: A systematic review (2014–2023) and research recommendations (2023)Multimodal Emotion Recognition with Deep Learning: Advancements, challenges, and future directions (2023)Speech Emotion Recognition Based on Multiple Acoustic Features and Deep Convolutional Neural Network (2023)Speech emotion recognition using machine learning — A systematic review (2023)Automated emotion recognition: Current trends and future perspectives (2022)
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References

  • 1991Approximate entropy as a measure of system complexity.5,811 cited
  • 2018Speech emotion recognition using deep 1D & 2D CNN LSTM networks1,044 cited
  • 2020Speech emotion recognition with deep convolutional neural networks621 cited
  • 2017Speech Emotion Recognition from Spectrograms with Deep Convolutional Neural Network414 cited
  • 2015Speech Emotion Recognition Using Fourier Parameters409 cited
  • 2019Bagged support vector machines for emotion recognition from speech248 cited
  • 2020Feature extraction algorithms to improve the speech emotion recognition rate229 cited
  • 2021Improved speech emotion recognition with Mel frequency magnitude coefficient194 cited
  • 2022Hybrid LSTM-Transformer Model for Emotion Recognition From Speech Audio Files179 cited
  • 2020A survey of speech emotion recognition in natural environment161 cited
  • 2020Automated accurate speech emotion recognition system using twine shuffle pattern and iterative neighborhood component analysis techniques157 cited
  • 2020A Novel Approach for Classification of Speech Emotions Based on Deep and Acoustic Features155 cited
  • 2021Head Fusion: Improving the Accuracy and Robustness of Speech Emotion Recognition on the IEMOCAP and RAVDESS Dataset125 cited
  • 2021Emotion classification from speech signal based on empirical mode decomposition and non-linear features

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96 cited
  • 2014Time-Frequency Feature and AMS-GMM Mask for Acoustic Emotion Classification90 cited
  • 2019Learning Temporal Clusters Using Capsule Routing for Speech Emotion Recognition70 cited
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