Classification and identification of frog sound based on entropy approach
A new classification method for animal sound identification using entropy-based approach is proposed. Entropy is a measure of information contents or complexity for a sequence of a signal. This study introduces three definitions of entropy - Shannon entropy, Rènyi entropy and Tsallis entropy, which...
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2011
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Online Access: | https://eprints.ums.edu.my/id/eprint/19087/1/Classification%20and%20identification%20of%20frog%20sound%20based%20on%20entropy%20approach.pdf https://eprints.ums.edu.my/id/eprint/19087/ http://www.ipcbee.com/vol3/47-L5011.pdf |
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my.ums.eprints.190872018-03-08T02:29:24Z https://eprints.ums.edu.my/id/eprint/19087/ Classification and identification of frog sound based on entropy approach Jedol Dayou Ng, Chee Han Ho, Chong Mun Abdul Hamid Ahmad Sithi V. Muniandy Mohd Noh Dalimin A new classification method for animal sound identification using entropy-based approach is proposed. Entropy is a measure of information contents or complexity for a sequence of a signal. This study introduces three definitions of entropy - Shannon entropy, Rènyi entropy and Tsallis entropy, which are used in this paper as the features of extraction for the purpose of the pattern recognition of animal sounds. Sound samples from nine Microhylidae frogs are first segmented into syllables. Then, the features of each syllable are extracted using Shannon entropy, Rènyi entropy and Tsallis entropy. The nonparametric k-th nearest neighbours (k-NN) classifier is then used for frog sound identification system. The result shows that the entropy-based animal sound identification system has successfully identified most of the frog species. 2011 Conference or Workshop Item PeerReviewed text en https://eprints.ums.edu.my/id/eprint/19087/1/Classification%20and%20identification%20of%20frog%20sound%20based%20on%20entropy%20approach.pdf Jedol Dayou and Ng, Chee Han and Ho, Chong Mun and Abdul Hamid Ahmad and Sithi V. Muniandy and Mohd Noh Dalimin (2011) Classification and identification of frog sound based on entropy approach. In: 2011 International Conference on Life Science and Technology, 7 - 9 January 2011, Mumbai, India. http://www.ipcbee.com/vol3/47-L5011.pdf |
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A new classification method for animal sound identification using entropy-based approach is proposed. Entropy is a measure of information contents or complexity for a sequence of a signal. This study introduces three definitions of entropy - Shannon entropy, Rènyi entropy and Tsallis entropy, which are used in this paper as the features of extraction for the purpose of the pattern recognition of animal sounds. Sound samples from nine Microhylidae frogs are first segmented into syllables. Then, the features of each syllable are extracted using Shannon entropy, Rènyi entropy and Tsallis entropy. The nonparametric k-th nearest neighbours (k-NN) classifier is then used for frog sound identification system. The result shows that the entropy-based animal sound identification system has successfully identified most of the frog species. |
format |
Conference or Workshop Item |
author |
Jedol Dayou Ng, Chee Han Ho, Chong Mun Abdul Hamid Ahmad Sithi V. Muniandy Mohd Noh Dalimin |
spellingShingle |
Jedol Dayou Ng, Chee Han Ho, Chong Mun Abdul Hamid Ahmad Sithi V. Muniandy Mohd Noh Dalimin Classification and identification of frog sound based on entropy approach |
author_facet |
Jedol Dayou Ng, Chee Han Ho, Chong Mun Abdul Hamid Ahmad Sithi V. Muniandy Mohd Noh Dalimin |
author_sort |
Jedol Dayou |
title |
Classification and identification of frog sound based on entropy approach |
title_short |
Classification and identification of frog sound based on entropy approach |
title_full |
Classification and identification of frog sound based on entropy approach |
title_fullStr |
Classification and identification of frog sound based on entropy approach |
title_full_unstemmed |
Classification and identification of frog sound based on entropy approach |
title_sort |
classification and identification of frog sound based on entropy approach |
publishDate |
2011 |
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https://eprints.ums.edu.my/id/eprint/19087/1/Classification%20and%20identification%20of%20frog%20sound%20based%20on%20entropy%20approach.pdf https://eprints.ums.edu.my/id/eprint/19087/ http://www.ipcbee.com/vol3/47-L5011.pdf |
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