Animal call segregation using self organizing map with speeded up robust features

Animal counting is often employed to estimate the population size and species diversity in a given area. This work makes a start at the unsupervised segregation of audio clips with a Self Organizing Map (SOM), using Speeded Up Robust Features (SURF) applied to audio spectrograms as inputs. Further work is required for a functional algorithm.