ARCHIVES
Bird Species Identification Using Audio Processing Embedded With Translator
¹,²,³Artificial Intelligence and Data Science, Karpagam College Of Engineering Coimbatore, Tamilnadu, India
Published Online: November-December 2023
Pages: 01-05
Cite this article
↗ https://www.doi.org/10.59256/ijsreat.20230306001
With their variety of vocalizations, birds contribute significantly to the acoustic fabric of our natural surroundings. Their songs and calls offer important clues in to the health of ecosystems and biodiversity. Contributions from the project include the creation of effective and trustworthy systems for classifying bird species, which may find use in ecological studies, biodiversity monitoring, and ornithology. A system like this could be useful for monitoring migratory patterns, evaluating changes in bird populations, and supporting conservation initiatives. The domains of artificial intelligence and ornithology are connected by this research. Keywords: Biodiversity, Acoustic fabric, Conservation, Vo- calizations, Ornithology
Related Articles
2023
Protein Structure Prediction Using FCNN
2023
Glass Fibre Insulated with self-Compacting Concrete
2023
A Novel Transformer-less Adaptable Voltage Quadrupler DC Converter with closed loop control For Electric Vehicle
2023
Bowel sound analysis using a common vector approach
2023
Improving Power Quality of the Distribution Network by Connecting Photovoltaic Units in order to reduce the Harmonics using the Network Active Filter Resulting from the Nonlinear Load
2023
Prediction of Basic Pigment Removal from Its Freshwater Condition Using Carbon Activated Carbon Using Robotic Neural Networks
2023
Dynamic analysis of laminated composite cylindrical shells with stiffeners
2023
Bird Species Identification Using Audio Processing Embedded With Translator
