EMO&LY (EMOtion and AnomaLY) : A new corpus for anomaly detection in an audiovisual stream with emotional context. (L18-1)
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| Challenge: | Anomalies in discourse are induced or acted by a machine learning algorithm. |
| Approach: | They propose to use facial and speech video to create a corpus that contains controlled anomalies. |
| Outcome: | The proposed corpus contains controlled anomalies in speech and facial video recordings of subjects. |
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| Challenge: | Existing frameworks for emotion recognition are limited and do not allow for categorical versus dimensional oppositions. |
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Shutong Feng, Nurul Lubis, Christian Geishauser, Hsien-chin Lin, Michael Heck, Carel van Niekerk, Milica Gasic
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The Badalona Corpus - An Audio, Video and Neuro-Physiological Conversational Dataset (2022.lrec-1)
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Philippe Blache, Salomé Antoine, Dorina De Jong, Lena-Marie Huttner, Emilia Kerr, Thierry Legou, Eliot Maës, Clément François
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