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Whales breathe air and use it as a medium to produce sounds to communicate amongst themselves, commonly known as whale songs. These sounds are primarily produced in the larynx and the lungs, which are then transmitted through water. As the lungs and respiratory valves of each whale have a unique structure, they work as resonant cavities with their own characteristic frequencies. Based on this principle and the fact that each species of whales has a different characteristic physiology, a sound analysis tool can be used to locate and classify them into their respective species. In this paper, sounds produced by different Baleen whales are studied, and the whales classified, employing tools such as fast fourier transform and wavelet analysis using RavenPro 1.5. It is observed that each species of whales produces specific frequencies in a certain range that can be used to distinguish each species and can further be developed into a characterizing method. The same can be used to locate and identify different types of whales. Whales are shy and generally avoid human interaction. Hence, this method of location and classification could help us understand how shipping routes affect their feeding and mating patterns. Furthermore, this method could be useful in the area of Bioacoustics for analyzing wildlife sounds and assisting classification, at least up to the genus level.
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