NDLI: Sound-event partitioning and feature normalization for robust sound-event detection

Content Provider	IEEE Xplore Digital Library
Author	Baiying Lei Man-Wai Mak
Copyright Year	2014
Description	Author affiliation: Dept. of Biomed. Eng., Univ., Shenzhen, China (Baiying Lei) \|\| Hong Kong Polytech. Univ., Hong Kong, China (Man-Wai Mak)
Abstract	The ubiquitous of smartphones has opened up the possibility of mobile acoustic surveillance. However, the continuous operation of surveillance systems calls for efficient algorithms to conserve battery consumption. This paper proposes a power-efficient sound-event detector that exploits the redundancy in the sound frames. This is achieved by a sound-event partitioning (SEP) scheme where the acoustic vectors within a sound event are partitioned into a number of chunks, and the means and standard deviations of the acoustic features in the chucks are concatenated for classification by a support vector machine (SVM). Regularized PCA-whitening and L2 normalization are applied to the acoustic vectors to make them more amenable for the SVM. Experimental results based on 1000 sound events show that the proposed scheme is effective even if there are severe mismatches between the training and test conditions.
Starting Page	389
Ending Page	394
File Size	726944
Page Count	6
File Format	PDF
ISBN	9781479946129
ISSN	21653577
DOI	10.1109/ICDSP.2014.6900692
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-08-20
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Principal component analysis Feature extraction Mel frequency cepstral coefficient Detectors Support vector machine classification Sound event partitioning Scream sound detection PCA whitening and regularization Feature normalization
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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