Feature extraction for swiftlet sound attraction
This research about the analysis of sound for swiftlets to enter the swiftlets house. There are important thing for industry to attract swiftlets enter and build their nests in man-made house. Swiftlet house use swiftlet voice call recording to attract attention bird go inside house to be doing nest...
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2013
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Online Access: | http://umpir.ump.edu.my/id/eprint/18732/ http://umpir.ump.edu.my/id/eprint/18732/1/Feature%20Extraction%20for%20swiftlet%20sound%20attraction.pdf http://umpir.ump.edu.my/id/eprint/18732/7/Feature%20Extraction%20for%20swiftlet%20sound%20attraction%201.pdf |
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ump-187322018-07-20T07:48:07Z http://umpir.ump.edu.my/id/eprint/18732/ Feature extraction for swiftlet sound attraction Siti Nurzalikha Zaini, Husni Zaini Kamarul Hawari, Ghazali Saiful Nizam, Tajuddin Q Science (General) TK Electrical engineering. Electronics Nuclear engineering This research about the analysis of sound for swiftlets to enter the swiftlets house. There are important thing for industry to attract swiftlets enter and build their nests in man-made house. Swiftlet house use swiftlet voice call recording to attract attention bird go inside house to be doing nest. Therefore, this study analyze sound features that has attracted attention bird. By apply technique Mel-Frequency Cepstral Coefficient (MFCC) in speech processing on swiftlet sound. The sample of swiftlet voices are play on in swiftlet's house used to find the coefficient. 2013 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/18732/1/Feature%20Extraction%20for%20swiftlet%20sound%20attraction.pdf pdf en http://umpir.ump.edu.my/id/eprint/18732/7/Feature%20Extraction%20for%20swiftlet%20sound%20attraction%201.pdf Siti Nurzalikha Zaini, Husni Zaini and Kamarul Hawari, Ghazali and Saiful Nizam, Tajuddin (2013) Feature extraction for swiftlet sound attraction. In: 2nd International Conference on Electrical, Control and Computer Engineering (InECCE), 27-28 August 2013 , Kuantan, Pahang. pp. 1-4.. (Unpublished) |
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Local University |
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Universiti Malaysia Pahang |
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UMP Institutional Repository |
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Online Access |
language |
English English |
topic |
Q Science (General) TK Electrical engineering. Electronics Nuclear engineering |
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Q Science (General) TK Electrical engineering. Electronics Nuclear engineering Siti Nurzalikha Zaini, Husni Zaini Kamarul Hawari, Ghazali Saiful Nizam, Tajuddin Feature extraction for swiftlet sound attraction |
description |
This research about the analysis of sound for swiftlets to enter the swiftlets house. There are important thing for industry to attract swiftlets enter and build their nests in man-made house. Swiftlet house use swiftlet voice call recording to attract attention bird go inside house to be doing nest. Therefore, this study analyze sound features that has attracted attention bird. By apply technique Mel-Frequency Cepstral Coefficient (MFCC) in speech processing on swiftlet sound. The sample of swiftlet voices are play on in swiftlet's house used to find the coefficient. |
format |
Conference or Workshop Item |
author |
Siti Nurzalikha Zaini, Husni Zaini Kamarul Hawari, Ghazali Saiful Nizam, Tajuddin |
author_facet |
Siti Nurzalikha Zaini, Husni Zaini Kamarul Hawari, Ghazali Saiful Nizam, Tajuddin |
author_sort |
Siti Nurzalikha Zaini, Husni Zaini |
title |
Feature extraction for swiftlet sound attraction |
title_short |
Feature extraction for swiftlet sound attraction |
title_full |
Feature extraction for swiftlet sound attraction |
title_fullStr |
Feature extraction for swiftlet sound attraction |
title_full_unstemmed |
Feature extraction for swiftlet sound attraction |
title_sort |
feature extraction for swiftlet sound attraction |
publishDate |
2013 |
url |
http://umpir.ump.edu.my/id/eprint/18732/ http://umpir.ump.edu.my/id/eprint/18732/1/Feature%20Extraction%20for%20swiftlet%20sound%20attraction.pdf http://umpir.ump.edu.my/id/eprint/18732/7/Feature%20Extraction%20for%20swiftlet%20sound%20attraction%201.pdf |
first_indexed |
2023-09-18T22:26:42Z |
last_indexed |
2023-09-18T22:26:42Z |
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1777416013968572416 |