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Speaker dependent speech emotion recognition using MFCC and Support Vector Machine
2 references·6 citing·20 second hop
Speaker dependent speech emotion recognition using MFCC and Support Vector Machine (2016)Speaker dependent speech emotion recognit…Speech Emotion Recognition Using Fourier Parameters (2015)Speech Emotion Recognition Us…Feature Analysis and Evaluation for Automatic Emotion Identification in Speech (2010)Feature Analysis and Evaluati…Speech Databases, Speech Features, and Classifiers in Speech Emotion Recognition: A Review (2024)Speech Databases, Speech Feat…A BiLSTM–Transformer and 2D CNN Architecture for Emotion Recognition from Speech (2023)A BiLSTM–Transformer and 2D C…Emotion Recognition With Audio, Video, EEG, and EMG: A Dataset and Baseline Approaches (2022)Emotion Recognition With Audi…CyTex: Transforming speech to textured images for speech emotion recognition (2022)CyTex: Transforming speech to…Recognize basic emotional statesin speech by machine learning techniques using mel-frequency cepstral coefficient features (2020)Recognize basic emotional sta…Cubic SVM Classifier Based Feature Extraction and Emotion Detection from Speech Signals (2018)Cubic SVM Classifier Based Fe…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)Databases, features and classifiers for speech emotion recognition: a review (2018)Speech Emotion Classification Using Attention-Based LSTM (2019)An argument for basic emotions (1992)Acoustic profiles in vocal emotion expression. (1996)A new hybrid PSO assisted biogeography-based optimization for emotion and stress recognition from speech signal (2016)Emotion Recognition Using Hybrid Gaussian Mixture Model and Deep Neural Network (2019)A survey of speech emotion recognition in natural environment (2020)Speech emotion recognition based on HMM and SVM (2005)Speech emotion recognition based on feature selection and extreme learning machine decision tree (2017)A review of affective computing: From unimodal analysis to multimodal fusion (2017)A circumplex model of affect. (1980)DEAP: A Database for Emotion Analysis ;Using Physiological Signals (2011)Multimodal emotion recognition: A comprehensive review, trends, and challenges (2024)Multimodal Real-Time patient emotion recognition system using facial expressions and brain EEG signals based on Machine learning and Log-Sync methods (2024)IEMOCAP: interactive emotional dyadic motion capture database (2008)A Brief Review of Facial Emotion Recognition Based on Visual Information (2018)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)
this work references cited by second hop

References

  • 2015Speech Emotion Recognition Using Fourier Parameters409 cited
  • 2010Feature Analysis and Evaluation for Automatic Emotion Identification in Speech161 cited

Cited by

  • 2022Emotion Recognition With Audio, Video, EEG, and EMG: A Dataset and Baseline Approaches74 cited
  • 2018Cubic SVM Classifier Based Feature Extraction and Emotion Detection from Speech Signals60 cited
  • 2024Speech Databases, Speech Features, and Classifiers in Speech Emotion Recognition: A Review56 cited
  • 2023A BiLSTM–Transformer and 2D CNN Architecture for Emotion Recognition from Speech44 cited
  • 2022CyTex: Transforming speech to textured images for speech emotion recognition37 cited
  • 2020Recognize basic emotional statesin speech by machine learning techniques using mel-frequency cepstral coefficient features35 cited

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