Measuring the Voice Resemblance Extent of Identical (Monozygotic) Twins Using Voiceprints Neutrosophic Domain

Authors

  • Yazen A. Khaleel Department of Software Engineering, Faculty of Engineering, Koya University, Koya KOY45, Kurdistan region – F.R. Iraq http://orcid.org/0000-0001-5658-1164
  • Caroline Y. Daniel Department of Software Engineering, Faculty of Engineering, Koya University, Koya KOY45, Kurdistan region – F.R. Iraq https://orcid.org/0000-0002-2754-8565
  • Salah I. Yahya (1) Department of Communication and Computer Engineering, Cihan University-Erbil, Erbil, Iraq; (2) Department of Software Engineering, Faculty of Engineering, Koya University, Koya KOY45, Iraq https://orcid.org/0000-0002-2724-5118

DOI:

https://doi.org/10.14500/aro.10925

Keywords:

Identical Twins, Monozygotic, Neutrosophic domain, Voiceprint

Abstract

The identical twins (Monozygotic) are siblings created from the division of one fertilized egg (zygote), so they will be identical in their genetic characteristics and therefore in their phenotypic traits to a very large extent. Among these traits is the voice or the voiceprint of these twins. This research aims to suggest a method to determine the extent of the similarity and the difference between the voiceprints between the brothers of the identical twins and thus, it is possible to distinguish between their voices. This study relied on using a number of audio clips collected from 35 identical twins. The proposed method is based on the use of the spectrogram that represents the voiceprint of the twins. The spectrogram is a two-dimensional function that can be used in the Neutrosophic Transformation to convert the voiceprints to the Neutrosophic domain represented by three membership functions (True, False, and Indeterminate). The results showed that the average extent of the similarity ratio between twins’ voices (True membership) is 67.6%, the difference ratio (False membership) is 32.3%, and the indeterminacy membership function ratio is 18.2%.

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Author Biographies

Yazen A. Khaleel, Department of Software Engineering, Faculty of Engineering, Koya University, Koya KOY45, Kurdistan region – F.R. Iraq

Yazen A. Khaleel is a professor; he is an academic staff member in the Department of Software Engineering - Faculty of Engineering at Koya University. In 1995 He got his B.Sc. degree in electrical and electronics engineering. He has MSc degree in Signal processing and PhD degree in Electronics and Digital Signal processing. He is a member in Iraqi Engineers syndicate and in Kurdistan Engineering Union. Dr. Yazen has (9) published Journal articles and (3) conference papers [email: [email protected]]. [see TAP]

Caroline Y. Daniel, Department of Software Engineering, Faculty of Engineering, Koya University, Koya KOY45, Kurdistan region – F.R. Iraq

Caroline Y. Daniel is an Assistant Lecturer at the Department of Software Engineering, Faculty of Engineering, Koya University. She got the B.Sc. degree in Electrical Engineering and the M.Sc. degree in Power Engineering. Her research interests are in Power Transformers, Protection Methods and Fuzzy Logic. Caroline is a member of Kurdistan Engineers Syndicate.

Salah I. Yahya, (1) Department of Communication and Computer Engineering, Cihan University-Erbil, Erbil, Iraq; (2) Department of Software Engineering, Faculty of Engineering, Koya University, Koya KOY45, Iraq

Salah I. Yahya is a Professor, joined the Department of Software Engineering at Koya University in 2010. He has a B.Sc. degree in Electrical Engineering, M.Sc. degree in Electronics and Communication Engineering and Ph.D. degree in Communication and Microwave Engineering. He is a Consultant at the Iraqi Engineering Union. Dr. Yahya has many scientific publications; (2) books [1] and [2], (13) Journal Articles and more than (31) conference papers. He is a senior member of the IEEE-USA and a member of AMTA-USA, SDIWC-Hong Kong. Dr. Yahya is a regular reviewer of the Electromagnetics Academy, Cambridge, USA, PIERS Journals publications, since 2009, Science and Engineering of Composite Materials journal and International Journal of Applied Electromagnetics and Mechanics, as well as, a regular reviewer of SDIWC conferences. His h-index is (7). (see TAP). [e-mail: [email protected]]

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ARO Journal: Volume 10, No. 1 (2022)

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Published

2022-05-27

How to Cite

Khaleel, Y. A., Daniel, C. Y. and Yahya, S. I. (2022) “Measuring the Voice Resemblance Extent of Identical (Monozygotic) Twins Using Voiceprints Neutrosophic Domain”, ARO-THE SCIENTIFIC JOURNAL OF KOYA UNIVERSITY, 10(1), pp. 57–62. doi: 10.14500/aro.10925.

Issue

Vol. 10 No. 1 (2022): Edition Eighteen

Section

Articles

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Received 2022-01-10
Accepted 2022-05-14
Published 2022-05-27

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