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This paper presents novel approaches for efficient feature extraction usingenvironmental sound magnitude spectrogram. We propose approach based on thevisual domain. This approach included three methods. The first method is basedon extraction for each spectrogram a single log-Gabor filter followed by mutualinformation procedure. In the second method, the spectrogram is passed by thesame steps of the first method but with an averaged bank of 12 log-Gaborfilter. The third method consists of spectrogram segmentation into threepatches, and after that for each spectrogram patch we applied the secondmethod. The classification results prove that the second method is the mostefficient in our environmental sound classification system.

Environmental Sounds Spectrogram Classification using Log-Gabor Filters and Multiclass Support Vector Machines