Machine Learning Approach to Classify Birds on the Basis of Their Sound
Yogesh Jadhav, Vishal Patil, Deepa Parasar
Abstract
Bird Classifier is a system which will use machine learning approach and allows users to record bird sounds and identify them. The System will help bird species to be identified by taking input only the sound of that bird.The framework also offers tools for translating such annotations into datasets that can be used to train a computer to identify a species ’ presence or absence. Dataset recorded are preprocessed to remove unwanted noise and divide useful sounds in frames so that it can act as an input to classifier. The system was tested through different algorithms and the algorithm that gave best results was chosen for implementation.System uses audio features like MFCC,Mel- Spectra etc. This system will use different algorithms such as KNN, Random Forest, Multi layer perceptron, Bayes in classification of birds species.