Minimum Data of a Speech Signal as Special Indicators of Identification in Phonoscopy
Voice biometric data associated with physiological, psychological and other factors are widely used in forensic phonoscopy. There are various methods for identifying and verifying a person by voice. This article explores the minimum speech signal data as individual parameters of a speech signal. Monozygotic twins are believed to be genetically identical. Using the minimum data of the speech signal, we came to the conclusion that the voice imprint of monozygotic twins is individual. According to the conclusion of the experiment, we can conclude that the minimum indicators of the speech signal are more stable and reliable for phonoscopic examinations.
 Sataloff, R.T, Herman- Ackah Y.D., Hawkshaw. M.J.(2007) Clinical Anatomy and physiology of the voice . In Otolaryngologic Clinics of North America. vol 40. issue 5. pp 909-929. DOI: 10.1016/j.otc.2007.05.002
 Koval Sergey L. Formants matching as a robust method for forensic speaker identification. SPECOM'2006, St. Petersburg, 25-29 June 2006. P.125-128
 Kaganov, A.Sh. (2005): Forensic expertise of sound records, Moscow: Jurlitinform (in Russian).
 Kaganov, A.Sh. (2008): The instrumental study of characteristics of speech path excitation for speaker identification purposes, in Forensic expertise № 3 (15), Saratov (in Russian).
 Olga Ilina, Serguei Koval and Michael Khitrov. Phonetic Analysis in Forensic Speaker Identification. An Example of Routine Expert Actions. ICPhS99 San Francisco. P.157-160
 Koval, S.L., Kaganov, A. and Khitrov, M. 1998. The chart of the standard expert actions and decision-making principles of forensic speaker identification. Proceedings of COST-250 Workshop “Speaker Recognition by Man and by Machine: Directions for Forensic Applications”. Ankara, Turkey
 Koval, S.L., Labutin, P.V., Raev, A.N. (1995): Automatic speaker recognition using formants-based nearest-neighbor distance measure, in Proceeding EUROSPEECH’95, Madrid, vol. 2, p. 341-344.
 Koval, S.L., Zubova, P.I. (2007): Speaker identification by his voice and speech on the basis of complex analysis
 of phonograms, in Theory and practice of forensic expertise № 3 (7), Moscow: Nauka, p. 68-76 (in Russian).
 Decoster, W., Van Gysel, A.; Vercammen, J., Debruyne, F. (2001) Voice similarity in identical twins. Acta Oto-Rhino-Laryngologica Belgica .55, 49-55.
 Jayakumar, T., Savithri, S. R. (2008) Investigation into voice source of monozygotic twins using formant based inverse filtering. Journal of the All India Institute of Speech and Hearing .27, 8-14.
 Nolan, F. and Oh, T. Identical twins, different voices. (1996) Forensic Linguistics. 3(1):39–49.
 Vu Dang Hoang. Wavelet-based spectral analysis. Department of Analytical Chemistry and Toxicology, Hanoi University of Pharmacy, 13-15 Le Thanh Tong, Hanoi, Vietnam. https://doi.org/10.1016/j.trac.2014.07.010
 Daubechies I. Synchrosqueezed wavelet transforms: An empirical mode decomposition-like tool / I. Daubechies, J. Lu, H.-T. Wu / / Journal of Applied and Computational Harmonic Analysis. – 2011. –Vol. 30, № 2. – P. 243–261. DOI: 10.1016/ j.acha.2010.08.002
 Gilles J. Empirical Wavelet Transform / J. Gilles // IEEE Transactions on Signal Processing. – 2013. – Vol. 61, № 16. – P. 3999–4010. DOI: 10.1109/TSP.2013.2265222