Automatic fury recognition in audio records

被引：0
|
作者：
Ciobanu, Adrian [1 ]
Luca, Mihaela [1 ]
Musca, Elena [1 ]
Pavaloi, Ioan [1 ]
机构：
[1] Romanian Acad, Iasi Branch, Inst Comp Sci, Iasi, Romania
来源：
2014 INTERNATIONAL CONFERENCE ON DEVELOPMENT AND APPLICATION SYSTEMS (DAS) | 2014年
关键词：
pattern classification; speech processing; speech recognition;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
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.
引用
收藏
页码：176 / 179
页数：4
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