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Frequency domain processing for artificial synthesis of swiftlet's sound waves


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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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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