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An Enhanced Human Speech Emotion Recognition Using Hybrid of PRNN and KNN
12 references·1 citing·48 second hop
An Enhanced Human Speech Emotion Recognition Using Hybrid of PRNN and KNN (2019)An Enhanced Human Speech Emotion Recognit…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…Investigation of the effect of spectrogram images and different texture analysis methods on speech emotion recognition (2018)Investigation of the effect o…Speech emotion recognition with deep learning (2017)Speech emotion recognition wi…Prominence features: Effective emotional features for speech emotion recognition (2017)Prominence features: Effectiv…Evaluating deep learning architectures for Speech Emotion Recognition (2017)Evaluating deep learning arch…A review on emotion recognition using speech (2017)A review on emotion recogniti…Features and classifiers for emotion recognition from speech: a survey from 2000 to 2011 (2012)Features and classifiers for …Recognising realistic emotions and affect in speech: State of the art and lessons learnt from the first challenge (2011)Recognising realistic emotion…Survey on speech emotion recognition: Features, classification schemes, and databases (2010)Survey on speech emotion reco…Emotion recognition from speech signals using new harmony features (2009)Emotion recognition from spee…Emotion Recognition in Speech Using Neural Networks (2000)Emotion Recognition in Speech…Speech Databases, Speech Features, and Classifiers in Speech Emotion Recognition: A Review (2024)Speech Databases, Speech Feat…Cognitive representations of semantic categories. 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End-to-end speech emotion recognition using a deep convolutional recurrent network (2016)Speech Emotion Recognition using MFCC features and LSTM network (2019)Human–Computer Interaction with a Real-Time Speech Emotion Recognition with Ensembling Techniques 1D Convolution Neural Network and Attention (2023)An enhanced speech emotion recognition using vision transformer (2024)Speech Emotion Recognition Using Fourier Parameters (2015)A multimodal hierarchical approach to speech emotion recognition from audio and text (2021)Variational Instance-Adaptive Graph for EEG Emotion Recognition (2021)Emotion Recognition Using Different Sensors, Emotion Models, Methods and Datasets: A Comprehensive Review (2023)Practical Bayesian Optimization of Machine Learning Algorithms (2012)Speech emotion recognition: Emotional models, databases, features, preprocessing methods, supporting modalities, and classifiers (2019)Speech emotion recognition with deep convolutional neural networks (2020)
this work references cited by second hop

References

  • 2010Survey on speech emotion recognition: Features, classification schemes, and databases2,076 cited
  • 2018Speech emotion recognition using deep 1D & 2D CNN LSTM networks1,044 cited
  • 2011Recognising realistic emotions and affect in speech: State of the art and lessons learnt from the first challenge760 cited
  • 2017Evaluating deep learning architectures for Speech Emotion Recognition553 cited
  • 2012Features and classifiers for emotion recognition from speech: a survey from 2000 to 2011428 cited
  • 2000Emotion Recognition in Speech Using Neural Networks345 cited
  • 2018Speech emotion recognition based on an improved brain emotion learning model172 cited
  • 2009Emotion recognition from speech signals using new harmony features161 cited
  • 2017A review on emotion recognition using speech114 cited
  • 2017Speech emotion recognition with deep learning107 cited
  • 2018Investigation of the effect of spectrogram images and different texture analysis methods on speech emotion recognition75 cited
  • 2017Prominence features: Effective emotional features for speech emotion recognition60 cited

Cited by

  • 2024Speech Databases, Speech Features, and Classifiers in Speech Emotion Recognition: A Review56 cited

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