Bioacoustic Signal Classification Based on Continuous Region Processing, Grid Masking and Artificial Neural Network

no code implementations • 15 May 2013 • Mohammad Pourhomayoun, Peter Dugan, Marian Popescu, Christopher Clark

In this paper, we develop a novel method based on machine-learning and image processing to identify North Atlantic right whale (NARW) up-calls in the presence of high levels of ambient and interfering noise.

General Classification

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

no code implementations • 15 May 2013 • Mohammad Pourhomayoun, Peter Dugan, Marian Popescu, Denise Risch, Hal Lewis, Christopher 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.

Classification General Classification +1