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

Khaleel, Yazen A. and Daniel, Caroline Y. and Yahya, Salah 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. ISSN 2410-9355

[img] Text (PDF File)
ARO.10925-Vol10.No1.2022.ISSUE18-PP 57-62.pdf
Available under License Creative Commons Attribution Non-commercial Share Alike.

Download (1MB)
Official URL: http://dx.doi.org/10.14500/aro.10925

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%.

Item Type: Article
Uncontrolled Keywords: Identical Twins, Monozygotic, Neutrosophic domain, Voiceprint
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics > QA76 Computer software
Divisions: ARO-The Scientific Journal of Koya University > VOL 10, NO1 (2022)
Depositing User: Dr Salah Ismaeel Yahya
Date Deposited: 05 Aug 2022 12:05
Last Modified: 05 Aug 2022 12:05
URI: http://eprints.koyauniversity.org/id/eprint/314

Actions (login required)

View Item View Item