Skip navigation
Skip navigation

A Comparative Study of Two Procedures for Calculating Likelihood Ration in Forensic Text Comparison: Multivariate Kernel Density vs. Gaussian Mixture Model-Universal Background Model

Ishihara, Shunichi


We compared the performances of two procedures for calculating the likelihood ratio (LR) on the same set of text data. The first procedure was a multivariate kernel density (MVKD) procedure which has been successfully applied to various types of forensic evidence, including glass fragments, handwriting, fingerprint, voice, and texts. The second procedure was a Gaussian mixture model � universal background model (GMM-UBM), which has been commonly used in forensic voice comparison (FVC) with...[Show more]

CollectionsANU Research Publications
Date published: 2013
Type: Conference paper
Source: Proceedings of the Workshop
Access Rights: Open Access


File Description SizeFormat Image
01_Ishihara_A_Comparative_Study_of_Two_2013.pdf1.28 MBAdobe PDF

Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.

Updated:  17 November 2022/ Responsible Officer:  University Librarian/ Page Contact:  Library Systems & Web Coordinator