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

  • 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%.

Downloads

Download data is not yet available.

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: yazen.adnan@koyauniversity.org]. [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: salah.ismaeel@koyauniversity.org]

References

Ali, M.L., Son, H., Khan, M. and Tung, N.T., 2018. Segmentation of dental X-ray images in medical imaging using neutrosophic orthogonal matrices. Expert Systems With Applications, 91, pp.434-441.

Ariyaeeinia, A., Morrison, C., Malegaonkar, A. and Black, S., 2008. Atest of the effectiveness of speaker verification for differentiating between identical twins. Science and Justice, 48, pp.182-186.

Broumi, S., Nagarajan, D., Bakali, A. and Talea, M., 2019. Implementation of neutrosophic function memberships using MATLAB program. Neutrosophic Sets and Systems, 27(1), pp.44-52.

Cavalcanti, J.C., Eriksson, A. and Barbosa, P.A., 2021. Multiparametric analysis of speaking fundamental frequency in genetically related speakers using different speech materials: Some forensic implications, Journal of Voice, In Press.

Cielo, A.C., Agustini, R. and Finger, L.S., 2012. Vocal Characteristics of Monozygotic Twins. Revista CEFAC, pp.1234-1243.

Fuchs, M., Oeken, J., Hotopp, T., Täschner, R., Hentschel, B. and Behrendt, W., 2000. Similarity of monozygotic twins regarding vocal performance and acoustic markers and possible clinical significance. HNO, 48(6), p.462.

Khaleel, Y.A., 2020. High security and capacity of image steganography for hiding human speech based on spatial and cepstral domains. ARO-The Scientific Journal of Koya University, 8(1), pp.95-106.

Kodate, K., Inaba, R., Watanabe, E. and Kamiya, T., 2002. Facial recognition by a compact parallel optical correlator. Measurement Science and Technology, 13, pp.1756-1766.

Kong, A.W.K., Zhang, D. and Lu, G., 2006. Astudy of identical twins’ palmprints for personal verification. Pattern Recognition, 39, pp.2149-2156.

Künzel, H.J., 2011. Automatic speaker recognition of identical twins. The International Journal of Speech, Language and the Law, 17(2), pp.251-277.

Li, J., Zhang, L., Guo, D., Zhuo, S. and Sim,T., 2015. Audio-visual twins database. International Conference on Biometrics, 2015, pp.493-500.

Sataloff, R.T., Herman-Ackah, Y.D. and Hawkshaw, M.J., 2007. Clinical Anatomy and physiology of the voice. Otolaryngologic Clinics of North America, 40(5), pp.909-929.

Sebastian, S., Benadict, A.S., Sunny, G.K. and Balraj, A., 2013. An investigation into the voice of identical twins. Otolaryngology Online Journal, 3(2), pp.1-7.

Segundo, E.S., Tsanas, A. and Vilda, P.G., 2017. Euclidean Distances as measures of speaker similarity including identical twin pairs: A forensic investigation using source and filter voice characteristics. Forensic Science International, 270, pp.25-38.

Smarandache, F., 2001. An introduction to neutrosophy, neutrosophic logic, neutrosophic set, and neutrosophic probability and statistics. 1st International Conference on Neutrosophy, Neutrosophic Logic, Neutrosophic Set, Neutrosophic Probability and Statistics, University of New Mexico-Gallup 1-3December, pp.1-17.

Van Gysel, W.D., Vercammen, J. and Debruyne, F., 2001. Voice similarity in identical twins. Acta Otorhinolaryngologica Belg, 55(1), pp.49-55.

Whiteside, S.P. and Rixon, E., 2000. The identification of twins from pure (single speaker) syllables and hybrid (fused) syllables: An acoustic and perceptual case study. Perceptual and Motor Skills, 91, pp.933-947

ARO Journal: Volume 10, No. 1 (2022)
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): Issue Eighteen
Section
Articles

Copyright (c) 2022 Yazen A. Khaleel, Caroline Y. Daniel, Salah I. Yahya

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

Authors who choose to publish their work with Aro agree to the following terms:

  • Authors retain the copyright to their work and grant the journal the right of first publication. The work is simultaneously licensed under a Creative Commons Attribution License [CC BY-NC-SA 4.0]. This license allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.

  • Authors have the freedom to enter into separate agreements for the non-exclusive distribution of the journal's published version of the work. This includes options such as posting it to an institutional repository or publishing it in a book, as long as proper acknowledgement is given to its initial publication in this journal.

  • Authors are encouraged to share and post their work online, including in institutional repositories or on their personal websites, both prior to and during the submission process. This practice can lead to productive exchanges and increase the visibility and citation of the published work.

By agreeing to these terms, authors acknowledge the importance of open access and the benefits it brings to the scholarly community.

Crossref
Scopus
Google Scholar
Europe PMC