DocumentCode :
1594132
Title :
Automatic recognition of elephant infrasound calls using formant analysis and Hidden Markov Model
Author :
Wijayakulasooriya, Janaka V.
Author_Institution :
Dept. of Electr. & Electron. Eng., Univ. of Peradeniya, Peradeniya, Sri Lanka
fYear :
2011
Firstpage :
244
Lastpage :
248
Abstract :
A method is proposed for automatic recognition of elephant infrasound calls. It uses Linear Predictive Coding (LPC) for extracting the formants of the elephant rumble. A novel feature extraction technique is proposed to capture the unique features of elephant rumbles. The features are then processed using a two state Hidden Markov Model (HMM) to automatically detect the presence of elephants. The method is tested on pure elephant rumbles as well as field recorded signals containing environmental noise. The results show that the proposed method can be used to successfully detect the presence of elephants even under noisy conditions.
Keywords :
acoustic signal processing; feature extraction; hidden Markov models; linear codes; automatic recognition; elephant infrasound calls; elephant rumble; environmental noise; feature extraction technique; formant analysis; hidden Markov model; linear predictive coding; signal recording; Accuracy; Feature extraction; Global Positioning System; Hidden Markov models; Information systems; Spectrogram; Stochastic processes; Elephant Infrasound Call; Formant analysis; Hidden Markov Models; Linear Predictive Codes (LPC);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial and Information Systems (ICIIS), 2011 6th IEEE International Conference on
Conference_Location :
Kandy
Print_ISBN :
978-1-4577-0032-3
Type :
conf
DOI :
10.1109/ICIINFS.2011.6038074
Filename :
6038074
Link To Document :
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