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Appl. Sci. 2017, 7(2), 178; doi:10.3390/app7020178

Fusion of Linear and Mel Frequency Cepstral Coefficients for Automatic Classification of Reptiles

1
Institute for Technological Development and Innovation in Communications, University of Las Palmas de Gran Canaria, Campus Universitario de Tafira, 35017 Las Palmas de Gran Canaria, Spain
2
Signal and Communications Department, University of Las Palmas de Gran Canaria, Campus Universitario de Tafira, 35017 Las Palmas de Gran Canaria, Spain
3
Telematic Engineering Department, University of Las Palmas de Gran Canaria, Campus Universitario de Tafira, 35017 Las Palmas de Gran Canaria, Spain
*
Author to whom correspondence should be addressed.
Received: 29 December 2016 / Accepted: 7 February 2017 / Published: 13 February 2017
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Abstract

Bioacoustic research of reptile calls and vocalizations has been limited due to the general consideration that they are voiceless. However, several species of geckos, turtles, and crocodiles are abletoproducesimpleandevencomplexvocalizationswhicharespecies-specific.Thisworkpresents a novel approach for the automatic taxonomic identification of reptiles through their bioacoustics by applying pattern recognition techniques. The sound signals are automatically segmented, extracting each call from the background noise. Then, their calls are parametrized using Linear and Mel Frequency Cepstral Coefficients (LFCC and MFCC) to serve as features in the classification stage. In this study, 27 reptile species have been successfully identified using two machine learning algorithms: K-Nearest Neighbors (kNN) and Support Vector Machine (SVM). Experimental results show an average classification accuracy of 97.78% and 98.51%, respectively. View Full-Text
Keywords: biological acoustic analysis; bioacoustic taxonomy identification; reptile vocalization; frequency cepstral coefficients; SVM; kNN biological acoustic analysis; bioacoustic taxonomy identification; reptile vocalization; frequency cepstral coefficients; SVM; kNN
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MDPI and ACS Style

Noda, J.J.; Travieso, C.M.; Sánchez-Rodríguez, D. Fusion of Linear and Mel Frequency Cepstral Coefficients for Automatic Classification of Reptiles. Appl. Sci. 2017, 7, 178.

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