Automatic fury recognition in audio records

The paper is focused on automatic detection of fury emotion in audio records, using data extracted from the vocalic analysis of formants. We have studied speech prosody and voice inflexions and we recognised fury using classification algorithms applied to two databases, one with professional voices and another with normal voices, both of them recorded on the base of selected texts in Romanian language. We used relevant stories for generating fury emotion. We obtained interesting results that can be used in a large variety of possible applications.