MuSe 2023 Challenge: Multimodal Prediction of Mimicked Emotions, Cross-Cultural Humour, and Personalised Recognition of Affects-Reference-Cited by-同舟云学术

MuSe 2023 Challenge: Multimodal Prediction of Mimicked Emotions, Cross-Cultural Humour, and Personalised Recognition of Affects

Published:2023-10-26 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 31st ACM International Conference on Multimedia
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Author:

Amiriparian Shahin¹^ORCID,Christ Lukas¹^ORCID,König Andreas²^ORCID,Cowen Alan³^ORCID,Meßner Eva-Maria⁴^ORCID,Cambria Erik⁵^ORCID,Schuller Björn W.⁶^ORCID

Affiliation:

1. University of Augsburg, Augsburg, Germany

2. University of Passau, Passau, Germany

3. Hume AI, New York, NY, USA

4. University of Ulm, Ulm, Germany

5. Nanyang Technological University, Singapore, Singapore

6. Imperial College London, London, United Kingdom

Funder

Deutsche Forschungsgemeinschaft (DFG)

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3581783.3610943

Reference31 articles.

1. The Dos and Don'ts of Affect Analysis

2. Sentiment analysis using image-based deep spectrum features

3. DeepSpectrumLite: A Power-Efficient Transfer Learning Framework for Embedded Speech and Audio Processing From Decentralized Data

4. Guest Editorial: Special Issue on Affective Speech and Language Synthesis, Generation, and Conversion

5. Erik Cambria , Dipankar Das , Sivaji Bandyopadhyay , and Antonio Feraco . 2017. Affective computing and sentiment analysis . In A practical guide to sentiment analysis . Springer , 1--10. Erik Cambria, Dipankar Das, Sivaji Bandyopadhyay, and Antonio Feraco. 2017. Affective computing and sentiment analysis. In A practical guide to sentiment analysis. Springer, 1--10.

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