Dense Attention Memory Network for Multi-modal emotion recognition

Author:

Ma Gailing Gl1,Guo Xiao1

Affiliation:

1. Department of Information and Communication Engineering, Communication University of China, China

Publisher

ACM

Reference25 articles.

1. C. Yu , Q. Tian , F. Cheng , and S. Zhang , (2011, May). “Speech emotion recognition using support vector machines ,” In International Conference on Computer Science and Information Engineering (pp. 215-220) . Springer, Berlin, Heidelberg. C. Yu, Q. Tian, F. Cheng, and S. Zhang, (2011, May). “Speech emotion recognition using support vector machines,” In International Conference on Computer Science and Information Engineering (pp. 215-220). Springer, Berlin, Heidelberg.

2. Speech Emotion Recognition Using CNN

3. NRC-Canada-2014: Detecting Aspects and Sentiment in Customer Reviews

4. Y. Song , J. Wang , J. Tao , and Z. Liu , “ Attentional Encoder Network for Targeted Sentiment Classification ,” https://doi.org/10.48550/ arXiv . 1902 .09314 Y. Song, J. Wang, J. Tao, and Z. Liu, “Attentional Encoder Network for Targeted Sentiment Classification,” https://doi.org/10.48550/ arXiv .1902.09314

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