Extracting and Associating Meta-features for Understanding People's Emotional Behaviour: Face and Speech

作者：Bourbakis Nikolaus; Esposito Anna^*; Kavraki Despina

来源：Cognitive Computation, 2011, 3(3): 436-448.

DOI：10.1007/s12559-010-9072-1

• Vocal and facial emotional expressions
• Speech and image processing
• Communicative signals
• Mathematical models

Emotion is a research area that has received much attention during the last 10 years, 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 people's 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 man-machine interfaces (interactive dialogue systems and intelligent avatars).

• 出版日期2011-9