Classification for Big Dataset of Bioacoustic Signals Based on Human Scoring System and Artificial Neural Network

15 May 2013Mohammad PourhomayounPeter DuganMarian PopescuDenise RischHal LewisChristopher Clark

In this paper, we propose a method to improve sound classification performance by combining signal features, derived from the time-frequency spectrogram, with human perception. The method presented herein exploits an artificial neural network (ANN) and learns the signal features based on the human perception knowledge... (read more)

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