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Multiscale-multichannel feature extraction and classification through one-dimensional convolutional neural network for Speech emotion recognition

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References

2005A database of German emotional speech2,365 cited
2010Survey on speech emotion recognition: Features, classification schemes, and databases2,076 cited
2018The Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS): A dynamic, multimodal set of facial and vocal expressions in North American English1,898 cited
2018Speech emotion recognition using deep 1D & 2D CNN LSTM networks1,044 cited
2014CREMA-D: Crowd-Sourced Emotional Multimodal Actors Dataset925 cited
2003Speech emotion recognition using hidden Markov models920 cited
2019Intraclass correlation – A discussion and demonstration of basic features910 cited
2019Speech Emotion Recognition Using Deep Learning Techniques: A Review689 cited
2020Speech emotion recognition with deep convolutional neural networks621 cited
2014Speech Emotion Recognition Using CNN416 cited
2020Clustering-Based Speech Emotion Recognition by Incorporating Learned Features and Deep BiLSTM402 cited
2019A CNN-Assisted Enhanced Audio Signal Processing for Speech Emotion Recognition393 cited
2006Bi-modal emotion recognition from expressive face and body gestures383 cited
2018Databases, features and classifiers for speech emotion recognition: a review356 cited

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2020

MLT-DNet: Speech emotion recognition using 1D dilated CNN based on multi-learning trick approach

205 cited

2023An ensemble 1D-CNN-LSTM-GRU model with data augmentation for speech emotion recognition197 cited

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