A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf
.
Speech Emotion Recognition With Early Visual Cross-modal Enhancement Using Spiking Neural Networks
2019
2019 International Joint Conference on Neural Networks (IJCNN)
Speech emotion recognition (SER) is an important part of affective computing and signal processing research areas. A number of approaches, especially deep learning techniques, have achieved promising results on SER. However, there are still challenges in translating temporal and dynamic changes in emotions through speech. Spiking Neural Networks (SNN) have demonstrated as a promising approach in machine learning and pattern recognition tasks such as handwriting and facial expression
doi:10.1109/ijcnn.2019.8852473
dblp:conf/ijcnn/Mansouri-Benssassi19
fatcat:by6d43nu5bfetbdrh5x6id6kuq