Identification of selected frogs acoustics samples using wavelet entropy

Biodiversity is one of the major studies in bio-conservation, which enable to evaluate the quality of ecosystem in a specific area, especially for protected area. In order to monitor the quality of the ecosystem structure, a long term rapid diversity assessment is needed. In term of that, bioacousti...

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Main Author:	Ng, Chee Han
Format:	Thesis
Language:	English
Published:	2011
Subjects:	TK Electrical engineering Electronics Nuclear engineering
Online Access:	https://eprints.ums.edu.my/id/eprint/9188/1/mt0000000375.pdf
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id	my-ums-ep.9188
record_format	uketd_dc
spelling	my-ums-ep.91882017-10-30T01:51:06Z Identification of selected frogs acoustics samples using wavelet entropy 2011 Ng, Chee Han TK Electrical engineering. Electronics Nuclear engineering Biodiversity is one of the major studies in bio-conservation, which enable to evaluate the quality of ecosystem in a specific area, especially for protected area. In order to monitor the quality of the ecosystem structure, a long term rapid diversity assessment is needed. In term of that, bioacoustics has been introduced as a beneficial method for local species richness estimation. However, this method is still in the infancy state and many improvements are needed for more practical purposes. This research is carried out to develop new bioacoustics species identification method using wavelet entropy with the improvement in the species identification accuracy. To evaluate the new identification system, a set of sound signals of nine frog species from Microhylidae family were collected. Ten syllables were segmented from each frog sound and extracted with the corresponding features which were carried out in this research, namely continuous wavelet entropy, discrete wavelet entropy and wavelet packet entropy as test samples. The test samples were then sent into the k-nearest neighbour (k-NN) classifier for species identification. Based on the test samples, this thesis work has proven that the wavelet packet entropy is the best method in the Tsallis entropy approach for species identification on bioacoustics signals. 2011 Thesis https://eprints.ums.edu.my/id/eprint/9188/ https://eprints.ums.edu.my/id/eprint/9188/1/mt0000000375.pdf text en public masters Universiti Malaysia Sabah School of Science and Technology
institution	Universiti Malaysia Sabah
collection	UMS Institutional Repository
language	English
topic	TK Electrical engineering Electronics Nuclear engineering
spellingShingle	TK Electrical engineering Electronics Nuclear engineering Ng, Chee Han Identification of selected frogs acoustics samples using wavelet entropy
description	Biodiversity is one of the major studies in bio-conservation, which enable to evaluate the quality of ecosystem in a specific area, especially for protected area. In order to monitor the quality of the ecosystem structure, a long term rapid diversity assessment is needed. In term of that, bioacoustics has been introduced as a beneficial method for local species richness estimation. However, this method is still in the infancy state and many improvements are needed for more practical purposes. This research is carried out to develop new bioacoustics species identification method using wavelet entropy with the improvement in the species identification accuracy. To evaluate the new identification system, a set of sound signals of nine frog species from Microhylidae family were collected. Ten syllables were segmented from each frog sound and extracted with the corresponding features which were carried out in this research, namely continuous wavelet entropy, discrete wavelet entropy and wavelet packet entropy as test samples. The test samples were then sent into the k-nearest neighbour (k-NN) classifier for species identification. Based on the test samples, this thesis work has proven that the wavelet packet entropy is the best method in the Tsallis entropy approach for species identification on bioacoustics signals.
format	Thesis
qualification_level	Master's degree
author	Ng, Chee Han
author_facet	Ng, Chee Han
author_sort	Ng, Chee Han
title	Identification of selected frogs acoustics samples using wavelet entropy
title_short	Identification of selected frogs acoustics samples using wavelet entropy
title_full	Identification of selected frogs acoustics samples using wavelet entropy
title_fullStr	Identification of selected frogs acoustics samples using wavelet entropy
title_full_unstemmed	Identification of selected frogs acoustics samples using wavelet entropy
title_sort	identification of selected frogs acoustics samples using wavelet entropy
granting_institution	Universiti Malaysia Sabah
granting_department	School of Science and Technology
publishDate	2011
url	https://eprints.ums.edu.my/id/eprint/9188/1/mt0000000375.pdf
_version_	1747836356324753408

Identification of selected frogs acoustics samples using wavelet entropy

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