A Comparative Study of Two Procedures for Calculating Likelihood Ration in Forensic Text Comparison: Multivariate Kernel Density vs. Gaussian Mixture Model-Universal Background Model
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]
|Collections||ANU Research Publications|
|Source:||Proceedings of the Workshop|
|Access Rights:||Open Access|
|01_Ishihara_A_Comparative_Study_of_Two_2013.pdf||1.28 MB||Adobe PDF|
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