Time Distributed Multiview Representation for Speech Emotion Recognition
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-49018-7_11
Reference13 articles.
1. Kulkarni, K., et al.: Automatic recognition of facial displays of unfelt emotions. IEEE Trans. Affect. Comput. 12(2), 377–390 (2021). https://doi.org/10.1109/TAFFC.2018.2874996
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4. Das, A., Nair, K., Bandi, Y.: Emotion detection using natural language processing and ConvNets. In: Shukla, S., Gao, X.Z., Kureethara, J.V., Mishra, D. (eds.) Data Science and Security. LNNS, vol. 462, pp. 127–135. Springer, Singapore (2022). https://doi.org/10.1007/978-981-19-2211-4_11
5. Cowen, A.S., Keltner, D.: Self-report captures 27 distinct categories of emotion bridged by continuous gradients. Proc. Nat. Acad. Sci. USA 114(38), E7900–E7909 (2017). https://doi.org/10.1073/pnas.1702247114. Epub 5 September 2017. PMID: 28874542. PMCID: PMC5617253
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