Learning Deep Models from Synthetic Data for Extracting Dolphin Whistle Contours
IJCNN, pp. 1-10, 2020.
We present a learning-based method for extracting whistles of toothed whales (Odontoceti) in hydrophone recordings. Our method represents audio signals as time-frequency spectrograms and decomposes each spectrogram into a set of time-frequency patches. A deep neural network learns archetypical patterns (e.g., crossings, frequency modula...More
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