Bioacoustic Monitoring of Endangered Bird Population
Author(s):
B.Sai Kumar , D. Madhan , K. Harischandraprasad , M. Yellamma
Keywords:
Bioacoustic Monitoring, convolutional neural network, audio classification, EDA.
Abstract
Extinction is a natural part of evolution and occurs for many reasons. Understanding the causes of extinction and how birds help overcome these threats is before more species disappear, as our world changes and not all birds can change with it. It's a great way to promote bird protection. Today, birds are becoming extinct, with significant increases in numbers over the last decade, affecting the entire food chain. Population monitoring is used to understand how native birds respond to environmental changes and conservation activities. However, many of the island's birds live in isolation in hard-to-reach highland habitats. Physically monitoring the presence of birds is a complex process and requires an automated process. Recent advances in machine learning have made it possible to use extensive training data to automatically identify bird calls of common species. However, developing such models for rare and endangered species remains a challenge.
Article Details
Unique Paper ID: 155366

Publication Volume & Issue: Volume 9, Issue 1

Page(s): 691 - 697
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