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Bat Classification based on Discrete Tchebichef Transform and Cepstrum, in Kalakad Mundanthurai Tiger Reserve

Gladrene Sheena Basil, Juliet Vanitharani, K. Jayapriya, A. Antonysamy

Abstract


Bats are unique among mammals which are key informers of climate change and play a vital role in maintaining eco-balance and pest-management in a forest, apart from being the best bio-indicators. Insectivorous bats make use of Echolocation Calls which are species-specific. Hence Echolocation calls can be used for species classification of bats. The echolocation calls are recorded using bat detectors. The audio signal is pre-emphasized and pre-processed and then features are extracted. In this paper, Discrete Tchebichef Transform and Cepstral features are made use of, to build a bat classification scheme for bats in Kalakad Mundanthurai Tiger Reserve. On classifying the bats calls with k-NN, Bayes and SVM classifiers, SVM was found to outperform others.


Keywords


Insectivorous Bats, Echolocation Call, Feature Extraction, Cepstral Features

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References


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