Audio-Visual Shared Emotion Representation for Robust Emotion Recognition on Modality Missing Using Hemi-hyperspherical Embedding and Latent Space Unification-Reference-Cited by-同舟云学术

Audio-Visual Shared Emotion Representation for Robust Emotion Recognition on Modality Missing Using Hemi-hyperspherical Embedding and Latent Space Unification

Published:2022 Issue: Volume: Page:137-143
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
language:
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Author:

Harata Seiichi^ORCID,Sakuma Takuto^ORCID,Kato Shohei^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-06388-6_18

Reference14 articles.

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3. D’Mello, S.K., Dowell, N., Graesser, A.: Unimodal and multimodal human perception of naturalistic non-basic affective states during human-computer interactions. IEEE Trans. Affect. Comput. 4(4), 452–465 (2013). https://doi.org/10.1109/T-AFFC.2013.19

4. Ernst, M.O., Banks, M.S.: Humans integrate visual and haptic information in a statistically optimal fashion. Nature 415(6870), 429–433 (2002). https://doi.org/10.1038/415429a

5. Harata, S., Sakuma, T., Kato, S.: Toward mathematical representation of emotion: a deep multitask learning method based on multimodal recognition. In: Companion Publication of the 2020 International Conference on Multimodal Interaction, ICMI 2020, pp. 47–51. Companion, Association for Computing Machinery (2020). https://doi.org/10.1145/3395035.3425254

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