期刊名称：Signal & Image Processing : An International Journal (SIPIJ)
印刷版ISSN：2229-3922
电子版ISSN：0976-710X
出版年度：2012
卷号：3
期号：2
页码：1
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：Accurate recognition of sound patterns in spectrograms is important step for further recognitionapplications. However, background noise forms fundamental problem regardless the species under study.In this paper, crest factor feature was extracted from the limited dynamic range spectrogram. Thedeveloped crest factor image behaved as smoothed version of the spectrogram, at which edges of theinvolved sound patterns were detected without the need of prior smoothing filters and their scalingconstraints. Attached noise – surrounds the detected edges – was removed, to form the enhancedspectrogram. The method was compared to other enhancement approaches such like spectral Subtractionand wavelet packet decomposition. Comparison was performed on different structure patterns of bats andbirds. Results indicate how the method is promising for efficiently enhancing the spectrogram whilepreserving its temporal and spectral accuracy. The method correctly classified three bioacoustics specieswith an accuracy of 94.59%, using few 2D features of their enhanced spectrograms
