Masking important information to assess the robustness of a multimodal classifier for emotion recognition

Deep neural networks have been proven effective in classifying human interactions into emotions, especially by encoding multiple input modalities. In this work, we assess the robustness of a transformer-based multimodal audio-text classifier for emotion recognition, by perturbing the input at infere...

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Detalles Bibliográficos
Autores principales: Cohen, Dror, Rosenberger, Ido, Butman, Moshe, Bar, Kfir
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10075078/
https://www.ncbi.nlm.nih.gov/pubmed/37035531
http://dx.doi.org/10.3389/frai.2023.1091443

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10075078/
https://www.ncbi.nlm.nih.gov/pubmed/37035531
http://dx.doi.org/10.3389/frai.2023.1091443

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