BIRD SPECIES DETECTION USING SOUND
Author(s):
R Venugopal Reddy, Rohan Gupta SV, Rohit Patil, Himanshu Kumar Singh, Mrs.Keerthi Mohan
Keywords:
Audio Analyzer, VAD, Markov model,, KCHH, Deep Learning, k-nearest Neighbours, Audio Processing, librosa , Acoustic classification, audio .wav file
Abstract
India has gained international attention as a result of its air pollution, cutting down of trees etc . And also major attention of environment degradation due to which many wildlife and bird species getting extinct or some are in the verge of extinction. So for protection there species government set up many organization and also setting up wildlife and Bird sanctuary. Identifying a bird can be challenging ,so even for experienced birders or bird watcher its very difficult And if you're new to using forest guides, it can be formidable to figure out where to begin searching in the hundreds of species. By some features like size, shape and colour and different body types birds can be classified. By using KNN AND KCHH algorithm , we can classify the species of the birds. Main problem is that the recognition of birds by their images is not effective at that level or sometime determine wrongly. so our main problem remain same and there is no change, so thus we need to add some additional requirements in it or enhance some properties in it. Two-layer authentication provides improved protection .which is essential for online banking security, voting system, secure transactions, secure virtual meetings, etc.
Article Details
Unique Paper ID: 160001

Publication Volume & Issue: Volume 9, Issue 12

Page(s): 939 - 943
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