DocumentCode
3702116
Title
Detection dangerous events in environmental sounds - a preliminary evaluation
Author
Vasile Apopei
Author_Institution
Institute of Computer Science of the Romanian Academy, Ia?i branch, Romania
fYear
2015
Firstpage
1
Lastpage
5
Abstract
The aim of this study is to identify relevant audio features and similarity measures that may reveal the emergence of new audio content in the environmental sounds and that may help identifying the dangerous events in hazardous situations. In order to reach this goal, we developed a sound database with environmental sounds and conducted a preliminary analysis of the possibilities of identifying dangerous events using the values of audio features extracted from the sound waveforms.
Keywords
"Feature extraction","Speech","Explosions","Databases","Cepstral analysis","Taxonomy","Modulation"
Publisher
ieee
Conference_Titel
Speech Technology and Human-Computer Dialogue (SpeD), 2015 International Conference on
Type
conf
DOI
10.1109/SPED.2015.7343104
Filename
7343104
Link To Document