Forensic Speaker Comparison Using Evidence Interval in Full Bayesian Significance Test
| Autor: | Adelino Pinheiro Silva, Maurílio Nunes Vieira, Adriano Vilela Barbosa |
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| Rok vydání: | 2020 |
| Předmět: |
Article Subject
Markov chain General Mathematics Bayesian probability Monte Carlo method General Engineering Inference 020206 networking & telecommunications Markov chain Monte Carlo 02 engineering and technology Interval (mathematics) Variance (accounting) Expected value Engineering (General). Civil engineering (General) 01 natural sciences 010104 statistics & probability symbols.namesake Statistics QA1-939 0202 electrical engineering electronic engineering information engineering symbols TA1-2040 0101 mathematics Mathematics |
| Zdroj: | Mathematical Problems in Engineering, Vol 2020 (2020) |
| ISSN: | 1563-5147 1024-123X |
| Popis: | This paper describes the application of a full Bayesian significance test (FBST) to compute evidence intervals in forensic speaker comparison (FSC). In the FBST approach, the challenge is to apply the test to a large number of observations and to formulate an equation to solve the test quickly. The contribution of the present work is that it proposes an application of the FBST to FSC and develops a method to calculate the FBST for the distribution of expected values (mean) with unknown variance without using Monte Carlo Markov chains (MCMC). Comparisons with other interval inference methodologies indicate that the evidence interval size is 49% greater than that computed with the Gosset approach. The evidence interval presented 71% fewer classification errors than the punctual inference did for the signal-to-noise ratio (SNR) of 17 dB. |
| Databáze: | OpenAIRE |
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