Software for sex determination in beautiful bird by sound recognition

Parinya Kittisut, Suchada Sitjongsataporn

Abstract


This paper introduces the design and development of software for sex determination in beautiful bird by sound recognition. Beautiful bird has the same characteristics both in male and female that is called “sexually monomorphic”. To study the sound of birds and develop software to determine the spectrum of the sound that birds send out. And to compare with the database of bird that has already been verified. By collecting the results of the 5 sunconure birds, which the result of the males that have a spectrum of 696 Hz and females have a spectrum of 869 Hz with error 6.75 %.

Keywords


Sex, Bird, Voice, Sound Spectrum, Subtitled Audio

Full Text:

PDF

References


Am.J. (1996), Teaching Fourier analysis in microcomputer based laboratory. American Journal of Physics. p.64. AIP Publishing.

Bermúdez-Humarán, L.G., García-García, A., Leal-Garza, C.H., Riojas-Váldez, V., Jaramillo- Rangel, G. and Montes-de-Oca-Luna, R. (2002). Molecular sexing of monomorphic endangered Ara birds. J Exp Zool 292: p.677–80.

Cerit, H. and Avanus, K. (2007) Sex identification in avian species using DNA typing methods. World Poult Sci J 63: p.91–99.

Chanathip Kammakarn. (2552). Sex separation in beautiful birds. The Journal of Thai Veterinary Practitioners. (Vol.21 No.4), p.62-9.

Griffiths, R. and Korn, R.M.. (1997). A CHD1 gene is Z chromosome linked in the chicken Gallus domesticus, Gene 197: p.225–229. IEEE Computer Society Press.

Griffiths, R. and Tiwari, B. ( 1995). Sex of the last wild Spix’s macaw. Nature International journal of science. p.454. 2019 Springer Nature Publishing AG.

J. Jitsup, U. Sritheeravirojana, and S. Udomhunsakul. (2007). Syllable segmentation of Thai human speech using stationary wavelet transform. Asia-Pacific Conference on Communications. p.29-32. Institute of Electrical and Electronics Engineers (IEEE).

Jitsup, U. Sritheeravirojana, and S. Udomhunsakul (2007). Syllable segmentation of Thai human speech using stationary wavelet transform, Asia-Pacific Conference on Communications, p.29-32. IEEE Computer Society Press.

Kowit Phankru, (2550). Phonetic analysis system "ร" and "ล". Master Degree. King Mongkut’s University of Technology Thonburi.

N. Jittiwarangkul, S. Jitapunkul, S. Luksaneeyanawin, V. Ahkuputra, and C. Wutiwiwatchai(1998). “Thai Syllable Segmentation for Connected Speech Based on Energy” IEEE Asia-Pacific Conference on Circuits and Systems. p.169-172.

S. Chougule and P. P. Rege (2006), Language Independent Speaker Identification. IEEE International Conference on Industrial Technology. p. 364-368. IEEE Computer Society Press.

Thnakorn Ritthaisong.(2546). Beautiful bird. Bangkok: KPON (1996).

Wannachai Wannasawat, Yeun Puworawan, (2548). A comparison of the Pronunciation of Thai consonants between the original sound and Synthesized Sound. Master Degree. King Mongkut’s University of Technology Thonburi.


Refbacks

  • There are currently no refbacks.


Copyright (c) 2019 The Journal of Industrial Technology Suan Sunandha Rajabhat University

Faculty of Industrial Technology Suan Sunandha Rajabhat University 1 U-tongnok Dusit Bangkok 10300  Tel. 66 2160 1438#22  E-mail. fit@ssru.ac.th