Violence Prediction through Emotional Speech

Higueras-Soler J, Gil-Pita R, Alexandre E, Rosa-Zurera M. Violence Prediction through Emotional Speech. In: AES Convention 128. Audio Engineering Society; 2010. Paper 8003. Available from: https://aes.org/publications/elibrary-page/?id=15300

@inproceedings{HiguerasSoler2010_15300,
  author = {Higueras-Soler, José and Gil-Pita, Roberto and Alexandre, Enrique and Rosa-Zurera, Manuel},
  title = {{Violence Prediction through Emotional Speech}},
  booktitle = {AES Convention 128},
  note = {Paper 8003},
  year = {2010},
  month = may,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=15300}
}

TY  - CPAPER
TI  - Violence Prediction through Emotional Speech
AU  - Higueras-Soler, José
AU  - Gil-Pita, Roberto
AU  - Alexandre, Enrique
AU  - Rosa-Zurera, Manuel
T2  - AES Convention 128
M1  - Paper 8003
PY  - 2010
DA  - 2010/05/06
UR  - https://aes.org/publications/elibrary-page/?id=15300
PB  - Audio Engineering Society
LA  - en
AB  - 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.
ER  -