MLMar 31, 2017
Bi-class classification of humpback whale sound units against complex background noise with Deep Convolution Neural NetworkCazau Dorian, Riwal Lefort, Julien Bonnel et al.
Automatically detecting sound units of humpback whales in complex time-varying background noises is a current challenge for scientists. In this paper, we explore the applicability of Convolution Neural Network (CNN) method for this task. In the evaluation stage, we present 6 bi-class classification experimentations of whale sound detection against different background noise types (e.g., rain, wind). In comparison to classical FFT-based representation like spectrograms, we showed that the use of image-based pretrained CNN features brought higher performance to classify whale sounds and background noise.