Mel-log energies analysis of authentic audible intrusion activities in a Malaysian forest

Wildlife has been endangered due to illegal activities. This requires more effective surveillance measures. Felling timber and poaching are regular illegal activities but challenging to detect. Hence authorities should resort to modern technologies such as employing autonoumous surveillance to stop...

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Published in:Bulletin of Electrical Engineering and Informatics
Main Author: Afendi A.S.M.; Yusoff M.; Omar M.
Format: Article
Language:English
Published: Institute of Advanced Engineering and Science 2020
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85083043367&doi=10.11591%2feei.v9i2.2091&partnerID=40&md5=5394bae3bafd1b5921b43693a36627ed
id 2-s2.0-85083043367
spelling 2-s2.0-85083043367
Afendi A.S.M.; Yusoff M.; Omar M.
Mel-log energies analysis of authentic audible intrusion activities in a Malaysian forest
2020
Bulletin of Electrical Engineering and Informatics
9
2
10.11591/eei.v9i2.2091
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85083043367&doi=10.11591%2feei.v9i2.2091&partnerID=40&md5=5394bae3bafd1b5921b43693a36627ed
Wildlife has been endangered due to illegal activities. This requires more effective surveillance measures. Felling timber and poaching are regular illegal activities but challenging to detect. Hence authorities should resort to modern technologies such as employing autonoumous surveillance to stop them. The Malaysian forest audio data were recorded to lay a foundation in initiating a cheaper and practical approach. Hence this paper reports the collection, processing and analysis of audio data in preparation to develop an autonomous sound event detection system. The recording was an emulation of possible illegal activities in a reserved forest. Sounds of chainsaw and hand hatchet cutting tree trunks were taken. It was found that there was a distinct pattern in the Mel-log energies audio feature of the sound, which could be used to identify illegal activities. Thus, it is believed that a detection through audio is a possible approach to be employed as one of the methods to stop illegal activities in the tropical reserve forests like those in Malaysia. © 2020, Institute of Advanced Engineering and Science. All rights reserved.
Institute of Advanced Engineering and Science
20893191
English
Article
All Open Access; Gold Open Access
author Afendi A.S.M.; Yusoff M.; Omar M.
spellingShingle Afendi A.S.M.; Yusoff M.; Omar M.
Mel-log energies analysis of authentic audible intrusion activities in a Malaysian forest
author_facet Afendi A.S.M.; Yusoff M.; Omar M.
author_sort Afendi A.S.M.; Yusoff M.; Omar M.
title Mel-log energies analysis of authentic audible intrusion activities in a Malaysian forest
title_short Mel-log energies analysis of authentic audible intrusion activities in a Malaysian forest
title_full Mel-log energies analysis of authentic audible intrusion activities in a Malaysian forest
title_fullStr Mel-log energies analysis of authentic audible intrusion activities in a Malaysian forest
title_full_unstemmed Mel-log energies analysis of authentic audible intrusion activities in a Malaysian forest
title_sort Mel-log energies analysis of authentic audible intrusion activities in a Malaysian forest
publishDate 2020
container_title Bulletin of Electrical Engineering and Informatics
container_volume 9
container_issue 2
doi_str_mv 10.11591/eei.v9i2.2091
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85083043367&doi=10.11591%2feei.v9i2.2091&partnerID=40&md5=5394bae3bafd1b5921b43693a36627ed
description Wildlife has been endangered due to illegal activities. This requires more effective surveillance measures. Felling timber and poaching are regular illegal activities but challenging to detect. Hence authorities should resort to modern technologies such as employing autonoumous surveillance to stop them. The Malaysian forest audio data were recorded to lay a foundation in initiating a cheaper and practical approach. Hence this paper reports the collection, processing and analysis of audio data in preparation to develop an autonomous sound event detection system. The recording was an emulation of possible illegal activities in a reserved forest. Sounds of chainsaw and hand hatchet cutting tree trunks were taken. It was found that there was a distinct pattern in the Mel-log energies audio feature of the sound, which could be used to identify illegal activities. Thus, it is believed that a detection through audio is a possible approach to be employed as one of the methods to stop illegal activities in the tropical reserve forests like those in Malaysia. © 2020, Institute of Advanced Engineering and Science. All rights reserved.
publisher Institute of Advanced Engineering and Science
issn 20893191
language English
format Article
accesstype All Open Access; Gold Open Access
record_format scopus
collection Scopus
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