DocumentCode
164335
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
fYear
2014
fDate
15-17 May 2014
Firstpage
176
Lastpage
179
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Development and Application Systems (DAS), 2014 International Conference on
Conference_Location
Suceava
Type
conf
DOI
10.1109/DAAS.2014.6842450
Filename
6842450
Link To Document