[PDF][PDF] Background population: how does it affect LR based forensic voice comparison?
Y Kinoshita, S Ishihara - … Journal of Speech, Language and the …, 2014 - researchgate.net
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 …
population afects the outcome of likelihood ratio (LR) based forensic voice comparison …
[PDF][PDF] How many do we need? exploration of the population size effect on the performance of forensic speaker classification.
S Ishihara, Y Kinoshita - Interspeech, 2008 - researchgate.net
This paper investigates how change in population size affects the reliability of the likelihood
ratio (LR)-based forensic speaker classification. Using features of the long term F0 …
ratio (LR)-based forensic speaker classification. Using features of the long term F0 …
[PDF][PDF] The effect of sample size on the performance of likelihood ratio-based forensic voice comparison
Y Kinoshita, S Ishihara - … of the 14th Australasian International Conference …, 2012 - assta.org
This is a preliminary investigation into the effect of sample size on a likelihood ratio based
forensic voice comparison system. We investigated how the number of vowel tokens used in …
forensic voice comparison system. We investigated how the number of vowel tokens used in …
[PDF][PDF] High level forensic voice comparison based on fused long-term fundamental frequency and word n-gram features
M Carne, S Ishihara, Y Kinoshita - 2022 - isca-archive.org
Feature robustness is particularly important in forensic applications of speaker recognition,
where there are often significant differences in the recording conditions between forensic …
where there are often significant differences in the recording conditions between forensic …
[PDF][PDF] LR-based forensic voice comparison under severe test-data scarcity
Y Kinoshita, M Wagner - Proceedings of Annual Conference of the …, 2014 - assta.org
This study sets out to find the most reliable method for loglikelihood-ratio (LLR) calculation
under severe data scarcity, which is typical of forensic voice comparison casework. We …
under severe data scarcity, which is typical of forensic voice comparison casework. We …
LR-based forensic comparison under severe test-data scarcity
Y Kinoshita, M Wagner - Annual Conference of the …, 2014 - anu-portal.elsevierpure.com
This study sets out to find the most reliable method for loglikelihood-ratio (LLR) calculation
under severe data scarcity, which is typical of forensic voice comparison casework. We …
under severe data scarcity, which is typical of forensic voice comparison casework. We …
[引用][C] Rhotic contrasts in Arabana
M Carne, J Chen, E Luk, S Strangways, C Stockigt… - Proceedings of the 19th …, 2019
[引用][C] A Follow-up Review of Contributions by Australian Research Institutions Into Speech Processing: 2006-2008.
TCY Tao - 2010