Kernel discriminant analysis for environmental sound recognition based on acoustic subspace


In this paper, we propose an effective discriminant subspace learning framework to recognize the environmental sounds. Firstly, Gabor transform is adopted to characterize the time-frequency distributions of environmental sounds. We further encode the prominent time-frequency patterns with low rank representation by extracting the subspace from Gabor… (More)
DOI: 10.1109/ICASSP.2013.6637760


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