AES E-Library

Violence Prediction through Emotional Speech

Preventing violence takes an absolute necessity in our society. Whether in homes with a particular risk of domestic violence, as in prisons or schools, there is a need for systems capable of detecting risk situations, for preventive purposes. One of the most important factors that precede a violent situation is an emotional state of anger. In this paper we discuss the features that are required to provide decision makers dedicated to the detection of emotional states of anger from speech signals. For this purpose, we present a set of experiments and results with the aim of studying the combination of features extracted from the literature and their effects over the detection performance (relationship between probability of detection of anger and probability of false alarm) of a neural network and a least-square linear detector.

Authors: Higueras-Soler, José; Gil-Pita, Roberto; Alexandre, Enrique; Rosa-Zurera, Manuel
Affiliation: Universidad de Alcalá, Alcala de Denares, Madrid, Spain
AES Convention:128 (May 2010) Paper Number:8003 Import into BibTeX
Subject:Audio Equipment and Emerging Technologies

Click to purchase paper or login as an AES member. If your company or school subscribes to the E-Library then switch to the institutional version. If you are not an AES member and would like to subscribe to the E-Library then Join the AES!

This paper costs $20 for non-members, $5 for AES members and is free for E-Library subscribers.

Learn more about the AES E-Library

E-Library Location: (CD 128Papers)   /128/8003.pdf

Start a discussion about this paper!