Citation
Nematollahi, Mohammad Ali and Syed Mohamed, Syed Abd Rahman Al-Haddad and Ramli, Abdul Rahman and Kassim, Azhar and Hashim, Shaiful Jahari
(2017)
Frequency domain processing for artificial synthesis of swiftlet's sound waves.
Journal of Telecommunication, Electronic and Computer Engineering, 9 (1-3).
89 - 93.
ISSN 2180-1843; ESSN: 2289-8131
Abstract
Swiftlet is a valuable farming industry in SouthEast Asia for earning foreign exchange. Many countries at this region are competing with each other to localize this industry. However, inviting the swiftlets into the farms based on traditional bird-call playing involves a trial and error process. This paper proposes a new technique to mechanize this process using a spectrogram processing approach. A novel model has been designed to recognize the bird-call and construct the enrollment database. Then, a frequency-based processing of swiftlet's sound waves based on the database was built with real world swiftlet's sound waves. The proposed prototype can be applied successfully to improve this industry.
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Official URL or Download Paper: http://journal.utem.edu.my/index.php/jtec/article/...
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Additional Metadata
| Item Type: | Article |
|---|---|
| Divisions: | Faculty of Agriculture Faculty of Engineering |
| Publisher: | Faculty of Electronic and Computer Engineering, Universiti Teknikal Malaysia Melaka |
| Keywords: | Bird call recognition; Swiftlet sound; Synthesis swiftlet call; Frequency domain processing |
| Depositing User: | Nurul Ainie Mokhtar |
| Date Deposited: | 27 Feb 2019 07:14 |
| Last Modified: | 27 Feb 2019 07:14 |
| URI: | http://psasir.upm.edu.my/id/eprint/61921 |
| Statistic Details: | View Download Statistic |
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