Extracting and Associating Meta-features for Understanding Peoples Emotional Behaviour: Face and Speech
Emotion is a research area that has received much attention during the last 10years, both in the context of speech synthesis, image understanding as well as in automatic speech recognition, interactive dialogues systems and wearable computing. There are promising studies on the emotional behaviour of people, mainly based on human observations. Only a few are based on automatic machine detection due to the lack of Information Technology and Engineering (ITE) techniques that can make available a deeper and large-scale noninvasive analysis and evaluation of peoples emotional behaviour and provide tools and support for helping them to overcome social barriers. The present paper reports a study for extracting and associating emotional meta-features to support the development of emotionally rich manmachine interfaces (interactive dialogue systems and intelligent avatars).
vocal and facial emotional expressions speech and image processing communicative signals mathematical models