Speech emotion recognition with early visual cross-modal enhancement using spiking neural networks

Esma Mansouri-Benssassi, Juan Ye

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)
4 Downloads (Pure)

Abstract

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 recognition. In this paper, we investigate the use of SNNs for SER tasks and more importantly we propose a new cross-modal enhancement approach. This method is inspired by the auditory information processing in the brain where auditory information is preceded, enhanced and predicted by a visual processing in multisensory audio-visual processing. We have conducted experiments on two datasets to compare our approach with the state-of-the-art SER techniques in both uni-modal and multi-modal aspects. The results have demonstrated that SNNs can be an ideal candidate for modeling temporal relationships in speech features and our cross-modal approach can significantly improve the accuracy of SER.
Original languageEnglish
Title of host publication2019 International Joint Conference on Neural Networks, IJCNN 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-8
Number of pages8
ISBN (Electronic)9781728119854
DOIs
Publication statusPublished - 30 Sept 2019
Event2019 International Joint Conference on Neural Networks, IJCNN 2019 - Budapest, Hungary
Duration: 14 Jul 201919 Jul 2019
https://www.ijcnn.org/

Publication series

NameProceedings of the International Joint Conference on Neural Networks
Volume2019-July
ISSN (Print)2161-4393
ISSN (Electronic)2161-4407

Conference

Conference2019 International Joint Conference on Neural Networks, IJCNN 2019
Abbreviated titleIJCNN 2019
Country/TerritoryHungary
CityBudapest
Period14/07/1919/07/19
Internet address

Keywords

  • Multisensory integration
  • Speech Emotion Recognition
  • Spiking Neural Networks
  • Unsupervised learning

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