Implementation of Bird Species Detection Algorithm using Deep Learning

Automatically identifying what types of the bird is present in sound recording using monitor reading. To distinguishing automatic birds based on their patterns.This useful field ornithology for studying species and behavior sound. Proposed method will be used to distinguish automatically different processing methods mechanical learning chirping patterns. We propose a sequential model audio features within short interval time. The Mel Frequency Cepstral Coefficients extract from files presented it model. proposed work classifies data set containing three bird, outperform support vector machines.