DocumentCode :
2412677
Title :
Audio sound event identification for distress situations and context awareness
Author :
Rougui, J.E. ; Istrate, D. ; Souidene, W.
Author_Institution :
LRIT-ESIGETEL, Avon, France
fYear :
2009
fDate :
3-6 Sept. 2009
Firstpage :
3501
Lastpage :
3504
Abstract :
In this paper the acoustic event detection and classification (AED/AEC) system developed under European Community´s Seventh Framework Companionable project in awareness context is presented. The system relies on the use of wavelet transform technique for detection and on an unsupervised order estimation of Gaussian mixture model (GMM) arranged in hierarchical form in the aim to improve the recognition accuracy. The results, measured in terms of two metrics (accuracy and error rate) are obtained applying the implemented system in off-line mode of audio analysis form of distress scenarios recorded in this fact.
Keywords :
Gaussian processes; acoustic signal detection; acoustic signal processing; audio signal processing; geriatrics; medical signal processing; patient monitoring; signal classification; telemedicine; ubiquitous computing; wavelet transforms; Gaussian mixture model; acoustic event classification; acoustic event detection; audio analysis; audio sound event identification; context awareness; distress scenario; fall detection; telemedicine; unsupervised order estimation; wavelet transform technique; Acoustics; Algorithms; Artificial Intelligence; Awareness; Computer Simulation; Humans; Normal Distribution; Pattern Recognition, Automated; Reproducibility of Results; Signal Detection, Psychological; Signal Processing, Computer-Assisted; Sound; Sound Spectrography; Vibration;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE
Conference_Location :
Minneapolis, MN
ISSN :
1557-170X
Print_ISBN :
978-1-4244-3296-7
Electronic_ISBN :
1557-170X
Type :
conf
DOI :
10.1109/IEMBS.2009.5334581
Filename :
5334581
Link To Document :
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