Automatic fury recognition in audio records

Abstract

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.

Language Processes and Related Statistics in the Posts Associated to Disasters on Social Networks

“…It would be interesting to follow this study by a research of the uttering of the synonyms on voice-enabled SNs in view of detecting their emotional charge using various methods of characterization, such as those in [8], [9], [13], [28] that report on emotion recognition tools specifically for the Romanian language.…”

Introduction of SVM algorithms and recent applications about fault diagnosis and other aspects

“…In addition,voice recognition could automatically and accurately extract voice signatures from a speakers voice and even could automatically recognize fury in audio records [73] as well as help identify electronic disguised voices [74] E. Medical Diagnosis SVM can help doctors diagnose some diseases like vocal disorders [75] and intestinal ischemia [76].At the same time,classification of data [77] and making medical decision [78] are another two important applications.…”