What is it about?
This research is about automatic recognition of bird species by their (audio) calls, even when there’s a lot of background noise—like wind, rain, or other animals. We used a smart Artificial Intelligence (AI) based system to listen to bird calls and figure out the bird among 264 recorded species. We have also added special noise reduction techniques to clean up the audio beforehand so the system can provide correct prediction even in noisy surroundings.
Featured Image
Photo by Omkar Rane on Unsplash
Why is it important?
Birds play a vital role in helping us understand the health of our environment. When certain species vanish or behave differently, it often signals deeper ecological changes. Unlike trying to spot birds visually—since they’re quick to fly off or hide in dense foliage—listening to their calls offers a more practical way to monitor them. Our AI based system enables tracking bird populations simply by analyzing their songs, even in noisy natural settings. This not only makes it easier for ornithologists to monitor birds but also opens the door for everyday nature lovers to understand natural habitats through mobile apps and recording devices.
Perspectives
The proposed AI system enables tracking of endangered bird species using an audio-based approach, eliminating the need for cameras or visual equipment. It allows for detection even in low-light conditions, complete darkness, or when birds are obscured from view. This method can be extended to other elusive animals with distinctive vocalizations, such as frogs. Integrating the technology into mobile applications could further broaden its accessibility and impact.
Wazib Ansar
Read the Original
This page is a summary of: An EfficientNet-Based Ensemble for Bird-Call Recognition with Enhanced Noise Reduction, SN Computer Science, February 2024, Springer Science + Business Media,
DOI: 10.1007/s42979-023-02591-6.
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