Title
Generalized Gaussian Distribution Kullback-Leibler kernel for robust sound event recognition
Abstract
In previous works, we have developed a spectrogram image feature extraction framework for robust sound event recognition. The basic idea here is to extract useful information from the 2D time-frequency representation of the sound signal to build up specific feature extractions and classifier under noisy conditions. In this paper, we propose a novel robust spectrogram image method where the key is the observed sparsity of the sound spectrogram image in wavelet representations, which is modeled by the Generalized Gaussian Distributions modeling. Furthermore, the Generalized Gaussian Distribution Kullback-Leibler (GGD-KL) kernel SVM is developed to embed the given probabilistic distance into the quadratic programming machine to optimize the classification The experimental result shows the superiority of the proposed method to the previous works and the state-of-the-art in the field.
Year
DOI
Venue
2014
10.1109/ICASSP.2014.6854745
Acoustics, Speech and Signal Processing
Keywords
Field
DocType
Gaussian distribution,feature extraction,image recognition,quadratic programming,support vector machines,time-frequency analysis,wavelet transforms,2D time-frequency representation,GGD-KL kernel,SVM,generalized Gaussian distribution Kullback-Leibler kernel,noisy conditions,observed sparsity,probabilistic distance,quadratic programming machine,robust sound event recognition,robust spectrogram image method,sound signal,sound spectrogram image,spectrogram image feature extraction,wavelet representations,Generalized Gaussian Distribution,Kernel,Kullback-Leiber Distance,Sound Event Recognition,Spectrogram,Wavelet
Kernel (linear algebra),Pattern recognition,Computer science,Speech recognition,Artificial intelligence,Event recognition,Kullback–Leibler divergence,Generalized normal distribution
Conference
ISSN
Citations 
PageRank 
1520-6149
2
0.39
References 
Authors
9
4
Name
Order
Citations
PageRank
Tran Huy Dat116525.31
Wen Zheng Terence Ng221.41
Jonathan Dennis31009.36
Yi Ren Leng462.97