Research Article
Frog Sound Identification System for Frog Species Recognition
@INPROCEEDINGS{10.1007/978-3-642-36642-0_5, author={Clifford Ting Yuan and Dzati Athiar Ramli}, title={Frog Sound Identification System for Frog Species Recognition}, proceedings={Context-Aware Systems and Applications. First International Conference, ICCASA 2012, Ho Chi Minh City, Vietnam, November 26-27, 2012, Revised Selected Papers}, proceedings_a={ICCASA}, year={2013}, month={2}, keywords={Frog Sound Identification Mel Frequency}, doi={10.1007/978-3-642-36642-0_5} }- Clifford Ting Yuan
Dzati Athiar Ramli
Year: 2013
Frog Sound Identification System for Frog Species Recognition
ICCASA
Springer
DOI: 10.1007/978-3-642-36642-0_5
Abstract
Physiological research reported that certain frog species contain antimicrobial substances which is potentially and beneficial in overcoming certain health problem. As a result, there is an imperative need for an automated frog species identification to assist people in physiological research in detecting and localizing certain frog species. This project aims to develop a frog sound identification system which is expected to recognize frog species according to the recorded bio acoustic signals. The Mel Frequency Cepstrum Coefficient (MFCC) and Linear Predictive Coding (LPC) are used as the feature extraction techniques for the system while the classifier employed is kNearest Neighbor (KNN). Database from AmphibiaWeb has been used to evaluate the system performances. Experimental results showed that system performances of 98.1% and 93.1% have been achieved for MFCC and LPC techniques, respectively.