De la construction du corpus émotionnel au système de détection. Le point de vue applicatif de la surveillance dans les lieux publics

The study presented in this paper deals with the modelling of extreme emotions occurring in abnormal situations. The aimed application is civil safety and surveillance in the public places in particular. A corpus of fiction (SAFE Corpus) is selected illustrating rich and varied contexts with the presence of extreme emotions, mainly fear. An annotation strategy adapted to the application is then developed, with both generic and specific descriptors. Finally, a detection system of fear emotions based on acoustic cues is implemented to carry out an evaluation. On the one hand the system is robust to context changes. On the other hand, the influence of multimodal annotation is minor. Results obtained with the various protocols are similar: fear is recognized with 67% of success.

[1]  Chloé Clavel,et al.  Events Detection for an Audio-Based Surveillance System , 2005, 2005 IEEE International Conference on Multimedia and Expo.

[2]  EmoTV 1 : Annotation of Real-life Emotions for the Specification of Multimodal Affective Interfaces , 2005 .

[3]  Cecile Pereira.  DIMENSIONS OF EMOTIONAL MEANING IN SPEECH , 2000 .

[4]  Jean-Claude Martin,et al.  Representing Real-Life Emotions in Audiovisual Data with Non Basic Emotional Patterns and Context Features , 2005, ACII.

[5]  Elmar Nöth,et al.  How to find trouble in communication , 2003, Speech Commun..

[6]  Roddy Cowie,et al.  Multimodal databases of everyday emotion: facing up to complexity , 2005, INTERSPEECH.

[7]  M. Cole.  Cross-cultural universals of affective meaning. , 1976 .

[8]  Laurence Devillers,et al.  Detection of real-life emotions in call centers , 2005, INTERSPEECH.

[9]  Roddy Cowie,et al.  Emotional speech: Towards a new generation of databases , 2003, Speech Commun..

[10]  Chloé Clavel,et al.  Fiction database for emotion detection in abnormal situations , 2004, INTERSPEECH.

[11]  Denyse Baillargeon,et al.  Bibliographie , 1929 .

[12]  Michael Kipp,et al.  ANVIL - a generic annotation tool for multimodal dialogue , 2001, INTERSPEECH.

[13]  D. Mitchell Wilkes,et al.  Acoustical properties of speech as indicators of depression and suicidal risk , 2000, IEEE Transactions on Biomedical Engineering.

[14]  T. Dalgleish.  Basic Emotions , 2004 .

[15]  P. Roach,et al.  Transcription of Prosodic and Paralinguistic Features of Emotional Speech , 1998, Journal of the International Phonetic Association.

[16]  Klaus R. Scherer,et al.  Vocal communication of emotion: A review of research paradigms , 2003, Speech Commun..

[17]  Shrikanth Narayanan,et al.  Recognition of negative emotions from the speech signal , 2001, IEEE Workshop on Automatic Speech Recognition and Understanding, 2001. ASRU '01..

[18]  Roddy Cowie,et al.  Describing the emotional states that are expressed in speech , 2003, Speech Commun..

[19]  Adrian E. Raftery,et al.  How Many Clusters? Which Clustering Method? Answers Via Model-Based Cluster Analysis , 1998, Comput. J..

[20]  Mehryar Mohri,et al.  Voice signatures , 2003, 2003 IEEE Workshop on Automatic Speech Recognition and Understanding (IEEE Cat. No.03EX721).