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A Research of Speech Emotion Recognition Based on Deep Belief Network and SVM
3 references·5 citing·24 second hop
A Research of Speech Emotion Recognition Based on Deep Belief Network and SVM (2014)A Research of Speech Emotion Recognition …Deep learning for robust feature generation in audiovisual emotion recognition (2013)Deep learning for robust feat…The role of intonation in emotional expressions (2005)The role of intonation in emo…Speech emotion recognition using hidden Markov models (2003)Speech emotion recognition us…Speech Emotion Recognition Using Convolution Neural Networks and Multi-Head Convolutional Transformer (2023)Speech Emotion Recognition Us…Speech emotion recognition by using complex MFCC and deep sequential model (2022)Speech emotion recognition by…RETRACTED ARTICLE: Impact of autoencoder based compact representation on emotion detection from audio (2021)RETRACTED ARTICLE: Impact of …FusionSense: Emotion Classification Using Feature Fusion of Multimodal Data and Deep Learning in a Brain-Inspired Spiking Neural Network (2020)FusionSense: Emotion Classifi…Emotion Recognition From Speech Using Wavelet Packet Transform Cochlear Filter Bank and Random Forest Classifier (2020)Emotion Recognition From Spee…Toward detecting emotions in spoken dialogs (2005)IEMOCAP: interactive emotional dyadic motion capture database (2008)Survey on speech emotion recognition: Features, classification schemes, and databases (2010)Hierarchical Convolutional Neural Networks for EEG-Based Emotion Recognition (2017)Learning Affective Features With a Hybrid Deep Model for Audio–Visual Emotion Recognition (2017)Speech Emotion Recognition From 3D Log-Mel Spectrograms With Deep Learning Network (2019)The phonology and phonetics of English intonation (1987)Acoustic profiles in vocal emotion expression. (1996)Praat, a system for doing phonetics by computer (2002)Analysis of Emotionally Salient Aspects of Fundamental Frequency for Emotion Detection (2009)Perceptual Cues in Nonverbal Vocal Expressions of Emotion (2010)Behavioral Signal Processing: Deriving Human Behavioral Informatics From Speech and Language (2013)The expression of the emotions in man and animals. (1872)Vocal affect expression: A review and a model for future research. (1986)Emotion recognition in human-computer interaction (2001)Emotional speech recognition: Resources, features, and methods (2006)Recognising realistic emotions and affect in speech: State of the art and lessons learnt from the first challenge (2011)A database of German emotional speech (2005)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)A circumplex model of affect. (1980)An argument for basic emotions (1992)Automatic speech emotion recognition using recurrent neural networks with local attention (2017)Speech emotion recognition using deep 1D & 2D CNN LSTM networks (2018)Speech emotion recognition: Emotional models, databases, features, preprocessing methods, supporting modalities, and classifiers (2019)
this work references cited by second hop

References

  • 2003Speech emotion recognition using hidden Markov models920 cited
  • 2005The role of intonation in emotional expressions450 cited
  • 2013Deep learning for robust feature generation in audiovisual emotion recognition401 cited

Cited by

  • 2023Speech Emotion Recognition Using Convolution Neural Networks and Multi-Head Convolutional Transformer73 cited
  • 2022Speech emotion recognition by using complex MFCC and deep sequential model60 cited
  • 2020Emotion Recognition From Speech Using Wavelet Packet Transform Cochlear Filter Bank and Random Forest Classifier55 cited
  • 2020FusionSense: Emotion Classification Using Feature Fusion of Multimodal Data and Deep Learning in a Brain-Inspired Spiking Neural Network51 cited
  • 2021RETRACTED ARTICLE: Impact of autoencoder based compact representation on emotion detection from audio51 cited

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