Parametrical patterns of voices in forensic applications

• Autorzy: Majewski W. , Basztura Cz.
• Języki publikacji: EN

Abstrakty

EN

A method of speaker recognition based on visual comparisons of sets of voice patterns is presented. These sets contain graphical patterns obtained from parameter extraction in the time-domain, frequency-domain and LPC (Linear Predictive Coding). In comparison to classical spectrograms, the parametrical patterns permit a better adaptation to specific speech signals that are available in forensic applications. Since parametrical patterns are more explicit than spectrograms, the decision reached by an expert may be more objective. The laboratory experiments on visual comparison of selected sets of patterns permitted to observe that in parametrical patterns of voices the intraspeaker variations are generally smaller than the interspeaker ones. The presented method of speaker recognition has been verified in a real-life case yielding valuable information on particular speakers. The results of laboratory experiments and real-life applications indicate that the visual method of speaker recognition based on various parametrical patterns of selected speech segments constitutes a very useful tool supporting the evidence proceeding with a much higher confidence level than it could be obtained on the basis of the classical spectrograms.

• Wydawca: Instytut Podstawowych Problemów Techniki PAN ; Komitet Akustyki PAN ; Polskie Towarzystwo Akustyczne
• Czasopismo: Archives of Acoustics
• Rocznik: 1998
• Tom: Vol. 23, no. 4
• Strony: 463--480
• Opis fizyczny: Bibliogr. 7 poz. wykr.

Twórcy

autor

Majewski W.

• Institute of Telecommunications and Acoustics Wrocław University of Technology, Wrocław, Poland

autor

Basztura Cz.

• Institute of Telecommunications and Acoustics Wrocław University of Technology, Wrocław, Poland

Bibliografia

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• [2] H. Hollien, The acoustics of crime - The new science of forensic phonetics, Plenum Press, New York 1990.
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• [4] O. Tosi, Voice identification - Theory and legal applications, University Park Press, Baltimore 1979.
• [5l J. Wolf, Efficient acoustic parameters for speaker recognition, J. Acoust. Soc. Amer., 51, 6, 2044-2056 (1972).
• [6] Programs for digital signal processing, IEE E Press , 1979.
• [7) J.R . Deller, J.G. Proakis, J.H .L. Hansen, Discrete -time processing of speech signals, Prentice Hall, Upper Saddle River, New Jersey 1993.