This article investigates to what extent and in what ways the size of the background
population afects the outcome of likelihood ratio (LR) based forensic voice comparison …

In this study, we outline a methodology to quantify the degree of similarity between pairs of
f0 distributions based on the Anderson-Darling measure that underlies its namesake …

In the past years, there is increasing awareness and acceptance among forensic speech
scientists of using Bayesian reasoning and likelihood ratio (LR) framework for forensic voice …

The present study has two main goals. The first is to describe the effects of three speaking
styles (spontaneous interview, sentence reading and word list reading) on statistical …

Speech is one of the most common and fundamental forms of communication, used
throughout the history of human evolution. The primary role of speech is to convey a …

This research uses a likelihood ratio (LR) framework to assess the discriminatory power of a
range of acoustic parameters extracted from speech samples produced by male speakers of …

In this paper, the Gaussian Mixture Model–Universal Background Model (GMM-UBM) is
applied to onedimensional speech data, namely the distribution of long term fundamental …