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General Information
    • ISSN: 2010-3697
    • Frequency: Bimonthly
    • DOI: 10.7763/IJMO
    • Editor-in-Chief: Prof. Adrian Olaru
    • Executive Editor: Ms.Yoyo Y. Zhou
    • Abstracting/ Indexing: Engineering & Technology Digital Library, ProQuest, Crossref, Electronic Journals Library, Google Scholar, EI (INSPEC, IET).
    • E-mail ijmo@iacsitp.com
Editor-in-chief
Prof. Adrian Olaru
University Politehnica of Bucharest, Romania
I'm happy to take on the position of editor in chief of IJMO. It's a journal that shows promise of becoming a recognized journal in the area of modelling and optimization. I'll work together with the editors to help it progress.
IJMO 2013 Vol.3(5): 425-428 ISSN: 2010-3697
DOI: 10.7763/IJMO.2013.V3.312

Low Variance Non-Contemporaneous Recordings Using Multitaper Analysis in Forensic Applications

Jose Trangol and Abel Herrera
Abstract—In the last time, the forensic speaker recognition has focused the attention and interest of the scientific community, the voice signal present a significant challenger due to its large variability, but in the forensic science, the variability is even more complex due to multiple factors that are present in this area of forensic biometrics, e.g., short time recordings, noise environmental, channel mismatched, non-contemporaneous recordings and so on. In this paper we study the performance of the Mel Frequency Cepstral Coefficients, using Multitaper Spectrum Estimate with promising preliminary results. This technique reduces the variance and improves the performance in forensic applications. In this work we focus in non-contemporaneous recordings, to modelling we use Gaussian Mixture Models.

Index Terms—Forensic speaker recognition, GMM, MFCC, multitaper analysis.

The authors are with Departamento de Procesamiento de Señales, Facultad de Ingeniería, UNAM(e-mail: jtrangol@yahoo.com, abelhc@hotmail.com)

[PDF]

Cite:Jose Trangol and Abel Herrera, "Low Variance Non-Contemporaneous Recordings Using Multitaper Analysis in Forensic Applications," International Journal of Modeling and Optimization vol. 3, no. 5, pp. 425-428, 2013.

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