By Topic

Detection and Analysis of Abnormal Situations Through Fear-Type Acoustic Manifestations

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

5 Author(s)
Clavel, C. ; THales Res. & Technol. France, Palaiseau, France ; Devillers, L. ; Richard, G. ; Vasilexcu, I.
more authors

Recent work on emotional speech processing has demonstrated the interest to consider the information conveyed by the emotional component in speech to enhance the understanding of human behaviors. But to date, there has been little integration of emotion detection systems in effective applications. The present research focuses on the development of a fear-type emotions recognition system to detect and analyze abnormal situations for surveillance applications. The Fear vs. Neutral classification gets a mean accuracy rate at 70.3%. It corresponds to quite optimistic results given the diversity of fear manifestations illustrated in the data. More specific acoustic models are built inside the fear class by considering the context of emergence of the emotional manifestations, i.e. the type of the threat during which they occur, and which has a strong influence on fear acoustic manifestations. The potential use of these models for a threat type recognition system is also investigated. Such information about the situation can indeed be useful for surveillance systems.

Published in:

Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference on  (Volume:4 )

Date of Conference:

15-20 April 2007