References

• 2008IEMOCAP: interactive emotional dyadic motion capture database3,864 cited
• 2005A database of German emotional speech2,365 cited
• 2014CREMA-D: Crowd-Sourced Emotional Multimodal Actors Dataset925 cited
• 2017Automatic speech emotion recognition using recurrent neural networks with local attention769 cited
• 2001Emotion Inferences from Vocal Expression Correlate Across Languages and Cultures751 cited
• 20183-D Convolutional Recurrent Neural Networks With Attention Model for Speech Emotion Recognition503 cited
• 2016MSP-IMPROV: An Acted Corpus of Dyadic Interactions to Study Emotion Perception391 cited
• 2010Cross-Corpus Acoustic Emotion Recognition: Variances and Strategies389 cited
• 2013Sparse Autoencoder-Based Feature Transfer Learning for Speech Emotion Recognition366 cited
• 2014Autoencoder-based Unsupervised Domain Adaptation for Speech Emotion Recognition269 cited
• 2018Domain Adversarial for Acoustic Emotion Recognition178 cited
• 2019Data Augmentation Using GANs for Speech Emotion Recognition162 cited
• 2019Improving Speech Emotion Recognition with Unsupervised Representation Learning on Unlabeled Speech140 cited
• 2006Improving Automatic Emotion Recognition from Speech via Gender Differentiaion138 cited