References

• 2008IEMOCAP: interactive emotional dyadic motion capture database3,864 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
• 2015The Geneva Minimalistic Acoustic Parameter Set (GeMAPS) for Voice Research and Affective Computing1,815 cited
• 2018Speech emotion recognition using deep 1D & 2D CNN LSTM networks1,044 cited
• 2020Toronto emotional speech set (TESS)227 cited
• 2023An ensemble 1D-CNN-LSTM-GRU model with data augmentation for speech emotion recognition197 cited
• 2019Two-layer fuzzy multiple random forest for speech emotion recognition in human-robot interaction195 cited
• 2020Speech Emotion Recognition with deep learning189 cited
• 2020A Novel Approach for Classification of Speech Emotions Based on Deep and Acoustic Features155 cited
• 2023Speech Emotion Recognition Based on Multiple Acoustic Features and Deep Convolutional Neural Network152 cited
• 2018Emotion Identification from Raw Speech Signals Using DNNs135 cited
• 2023Multimodal Emotion Detection via Attention-Based Fusion of Extracted Facial and Speech Features119 cited
• 2013A Multimodal Emotion Detection System during Human–Robot Interaction115 cited
• 2019Parallelized Convolutional Recurrent Neural Network With Spectral Features for Speech Emotion Recognition