Bird sound detection with binarized neural networks

Bird sound detection with binarized neural networks

By analysing the behavioural patterns of bird species in a specific region, researchers can predict future changes in the ecosystem. Many birds can be identified by their sounds, and autonomous recording units (ARUs) can capture real-time bird vocalisations. The recordings are analysed to see if the...

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Bibliographic Details
Main Authors: Ahmad Zabidi, Muhammad Mun’im, Wong, Kah Liang, Sheikh, Usman Ullah, Sadiah, Shahidatul, Nurudin, Muhammad Afiq
Format: Article
Language:English
Published: Penerbit UTM Press 2022
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://eprints.utm.my/104830/1/ShahidatulSadiah2022_BirdSoundDetectionwithBinarizedNeuralNetworks.pdf
http://eprints.utm.my/104830/
http://dx.doi.org/10.11113/elektrika.v21n1.349
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Institution: Universiti Teknologi Malaysia
Language: English

Internet

http://eprints.utm.my/104830/1/ShahidatulSadiah2022_BirdSoundDetectionwithBinarizedNeuralNetworks.pdf
http://eprints.utm.my/104830/
http://dx.doi.org/10.11113/elektrika.v21n1.349

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