References

• 2008IEMOCAP: interactive emotional dyadic motion capture database3,864 cited
• 2005A database of German emotional speech2,365 cited
• 2010Survey on speech emotion recognition: Features, classification schemes, and databases2,076 cited
• 1977Evidence for a three-factor theory of emotions1,940 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
• 2014CREMA-D: Crowd-Sourced Emotional Multimodal Actors Dataset925 cited
• 2003Speech emotion recognition using hidden Markov models920 cited
• 2016Adieu features? End-to-end speech emotion recognition using a deep convolutional recurrent network905 cited
• 2014Speech emotion recognition using deep neural network and extreme learning machine822 cited
• 2001Emotion Inferences from Vocal Expression Correlate Across Languages and Cultures751 cited
• 2019Speech emotion recognition: Emotional models, databases, features, preprocessing methods, supporting modalities, and classifiers725 cited
• 2019Speech Emotion Recognition Using Deep Learning Techniques: A Review689 cited
• 2020Speech emotion recognition with deep convolutional neural networks621 cited
• 2017Speech Emotion Recognition from Spectrograms with Deep Convolutional Neural Network