Challenges in real-life emotion annotation and machine learning based detection

Author:

Devillers Laurence,Vidrascu Laurence,Lamel Lori

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience

Reference52 articles.

1. Abrilian, S., Devillers, L., Buisine, S., & Martin, J.-C. (2005). EmoTV1: Annotation of Real-life Emotions for the Specification of Multimodal Affective Interfaces. Proceedings of Human-Computer Interaction International, Las Vegas, USA, July 2005.

2. Prosody-based automatic detection of annoyance and frustration in human–computer dialog;Ang;Proceedings of International Conference on Spoken Language Processing, Denver,2002

3. Transcriber: Development and use of a tool assisting speech corpora production;Barras;Speech Communication,2000

4. Desperately seeking emotions or: Actors, wizards, and human beings;Batliner;Proceedings of the International Speech Communication Association Workshop on Speech and Emotion,2000

5. How to find trouble in communication;Batliner;Speech Communication,2003

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