A Likelihood ratio-based forensic voice comparison in microphone vs. mobile mismatched conditions using Japanese /ai/
This paper describes a likelihood ratio-based forensic voice comparison experiment in microphone versus mobile channel mismatched conditions using parametric representations of formant trajectories. Cubic polynomial coefficients of /ai/ from non-contemporaneous recordings of 30 Japanese male speakers are used to derive multivariate likelihood ratios. The results are evaluated separately for a matched and mismatched group to determine the effect of the mismatch on system performance. A...[Show more]
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|Source:||A Likelihood ratio-based forensic voice comparison in microphone vs. mobile mismatched conditions using Japanese /ai/|
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