The effect of mismatched recording conditions on human and automatic speaker recognition in forensic applications.

Abstract:

:In this paper, we analyse mismatched technical conditions in training and testing phases of speaker recognition and their effect on forensic human and automatic speaker recognition. We use perceptual tests performed by non-experts and compare their performance with that of a baseline automatic speaker recognition system. The degradation of the accuracy of human recognition in mismatched recording conditions is contrasted with that of the automatic system under similar recording conditions. The conditions considered are of public switched telephone network (PSTN) and global system for mobile communications (GSM) transmission and background noise. The perceptual cues that the human subjects use to perceive differences in voices are studied along with their importance in different conditions. We discuss the possibility of increasing the accuracy of automatic systems using the perceptual cues that remain robust to mismatched conditions. We estimate the strength of evidence for both humans and automatic systems, calculating likelihood ratios using the perceptual scores for humans and the log-likelihood scores for automatic systems.

journal_name

Forensic Sci Int

authors

Alexander A,Botti F,Dessimoz D,Drygajlo A

doi

10.1016/j.forsciint.2004.09.078

keywords:

subject

Has Abstract

pub_date

2004-12-02 00:00:00

pages

S95-9

eissn

0379-0738

issn

1872-6283

pii

S0379-0738(04)00583-3

journal_volume

146 Suppl

pub_type

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