Paper Info
Title
A robust sound event recognition framework under TV playing conditions
Abstract
In this paper, we address the problem of performing sound event recognition tasks in the presence of television playing in a home environment. Our proposed framework consist of two modules: (1) a novel regression-based noise cancellation (RNC), a preprocessing which utilises a addition reference microphone placed near the television to reduce the noise. RNC learns an empirical mapping instead of the convention adaptive methods to achieve better noise reduction. (2) An improved subband power distribution image feature (iSPD-IF) which build on our existing classification framework by enhancing the feature extraction. A comprehensive experiment is carried out on our recorded data, which demonstrates high classification accuracy under severe television noise.
Year
DOI
Venue
2013
10.1109/APSIPA.2013.6694265
Signal and Information Processing Association Annual Summit and Conference
Keywords
Field
DocType
feature extraction,interference suppression,microphones,regression analysis,television interference,RNC,TV playing condition,empirical mapping,feature extraction,iSPD-IF,improved subband power distribution image feature,microphone,noise reduction,regression-based noise cancellation,robust sound event recognition framework,television noise
Noise reduction,Regression analysis,Computer science,Feature extraction,Speech recognition,Preprocessor,Active noise control,Television interference,Microphone,Event recognition
Conference
ISSN
Citations 
PageRank 
2309-9402
0
0.34
References 
Authors
5
4
Name
Order
Citations
PageRank
Wen Zheng Terence Ng121.40
Tran Huy Dat216525.31
Jonathan Dennis31009.36
Eng Siong Chng4970106.33