References

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• 2015The Geneva Minimalistic Acoustic Parameter Set (GeMAPS) for Voice Research and Affective Computing1,815 cited
• 2014Speech emotion recognition using deep neural network and extreme learning machine822 cited
• 2006The eNTERFACE’05 Audio-Visual Emotion Database615 cited
• 2014Learning Salient Features for Speech Emotion Recognition Using Convolutional Neural Networks567 cited
• 2017Speech Emotion Recognition Using Deep Convolutional Neural Network and Discriminant Temporal Pyramid Matching443 cited
• 2015Speech Emotion Recognition Using Fourier Parameters409 cited
• 2003Emotion recognition by speech signals366 cited
• 2011Deep neural networks for acoustic emotion recognition: Raising the benchmarks288 cited
• 2009Acoustic emotion recognition: A benchmark comparison of performances275 cited
• 2014Autoencoder-based Unsupervised Domain Adaptation for Speech Emotion Recognition269 cited
• 2016BAUM-1: A Spontaneous Audio-Visual Face Database of Affective and Mental States216 cited
• 2018Domain Adversarial for Acoustic Emotion Recognition178 cited
• 2018Speech emotion recognition based on an improved brain emotion learning model172 cited
• 2009