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