Adieu recurrence? End-to-end speech emotion recognition using a context stacking dilated convolutional network

Abstract

sponsorship: This research work was carried out at the ESAT Laboratory of KU Leuven. The research leading to these results has received funding from the Chinese Scholarship Council (CSC) (grant no. 201707650021), the KU Leuven Internal Funds C2-16-00449 and VES/19/004, and the European Research Council under the European Union's Horizon 2020 research and innovation program/ERC Consolidator Grant: SONORA (no. 773268). This paper reflects only the authors' views and the Union is not liable for any use that may be made of the contained information. (Chinese Scholarship Council (CSC)|201707650021, KU Leuven|C2-16-00449, KU Leuven|VES/19/004, European Research Council under the European Union|773268)