Title :
Automatic fury recognition in audio records
Author :
Ciobanu, Amelia ; Luca, Mihaela ; Musca, E. ; Pavaloi, I.
Author_Institution :
Iasi Branch, Inst. of Comput. Sci., Iasi, Romania
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.
Keywords :
audio signal processing; emotion recognition; signal classification; speech recognition; Romanian language; audio records; automatic fury emotion detection; automatic fury recognition; classification algorithms; formant vocalic analysis; normal voices; professional voices; speech prosody; voice inflexions; Databases; Emotion recognition; Hidden Markov models; Software; Speech; Speech recognition; Support vector machines; pattern classification; speech processing; speech recognition;
Conference_Titel :
Development and Application Systems (DAS), 2014 International Conference on
Conference_Location :
Suceava
DOI :
10.1109/DAAS.2014.6842450
