References

• 2008IEMOCAP: interactive emotional dyadic motion capture database3,864 cited
• 2010Survey on speech emotion recognition: Features, classification schemes, and databases2,089 cited
• 2015The Geneva Minimalistic Acoustic Parameter Set (GeMAPS) for Voice Research and Affective Computing1,815 cited
• 2009The INTERSPEECH 2009 emotion challenge936 cited
• 2003Speech emotion recognition using hidden Markov models924 cited
• 2017Evaluating deep learning architectures for Speech Emotion Recognition553 cited
• 2005Affective Computing: A Review511 cited
• 2013Deep learning for robust feature generation in audiovisual emotion recognition401 cited
• 2013Sparse Autoencoder-Based Feature Transfer Learning for Speech Emotion Recognition366 cited
• 2012Categorical and dimensional affect analysis in continuous input: Current trends and future directions360 cited
• 2014Autoencoder-based Unsupervised Domain Adaptation for Speech Emotion Recognition269 cited
• 2017Attentive Convolutional Neural Network Based Speech Emotion Recognition: A Study on the Impact of Input Features, Signal Length, and Acted Speech249 cited
• 2017Semisupervised Autoencoders for Speech Emotion Recognition153 cited
• 2017Jointly Predicting Arousal, Valence and Dominance with Multi-Task Learning138 cited