Papers

Multimodal Fusion Based on Information Gain for Emotion Recognition in the Wild

The paper titled as “Multimodal Fusion Based on Information Gain for Emotion Recognition in the Wild” (E. Ghaleb, M. Popa, E. Hortal, S. Asteriadis) has been accepted at the Intelligent Systems Conference (IntelliSys 2017), which will take place in London, United Kingdom from 7 to 8 September 2017.

Recognizing Emotional States using Speech Information

Emotion recognition plays an important role in several applications, such as human computer interaction and understanding afective state of users in certain tasks, e.g., within a learning process, monitoring of elderly, interactive entertainment etc. It may be based upon several modalities, e.g., by analyzing facial expressions and/or speech, using electroencephalograms, electrocardiograms etc. In certain applications the only available modality is the user's (speaker's) voice.

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