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- W316844182 abstract "In this paper, we propose a robust environmental sound spectrogram classification approach; its purpose is surveillance and security applications based on the reassignment method and log-Gabor filters. Besides, the reassignment method is applied to the spectrogram to improve the readability of the time-frequency representation, and to assure a better localization of the signal components. In this approach the reassigned spectrogram is passed through a bank of 12 log-Gabor filter concatenation applied to three spectrogram patches, and the outputs are averaged and underwent an optimal feature selection procedure based on a mutual information criterion. The proposed method is tested on a large database consists of 1000 environmental sounds belonging to ten classes. The averaged recognition accuracy is of order 90.87% which obtained using the multiclass support vector machines (SVM’s)." @default.
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- W316844182 date "2013-01-01" @default.
- W316844182 modified "2023-09-25" @default.
- W316844182 title "Using Three Reassigned Spectrogram Patches and Log-Gabor Filter for Audio Surveillance Application" @default.
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- W316844182 doi "https://doi.org/10.1007/978-3-642-41822-8_66" @default.
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