Validations of an alpha version of the E³ Forensic Speech Science System (E³FS³) core software tools.

ABSTRACT: This paper reports on validations of an alpha version of the E³ Forensic Speech Science System (E³FS³) core software tools. This is an open-code human-supervised-automatic forensic-voice-comparison system based on x-vectors extracted using a type of Deep Neural Network (DNN) known as a Residual Network (ResNet). A benchmark validation was conducted using training and test data (forensic_eval_01) that have previously been used to assess the performance of multiple other forensic-voice-comparison systems. Performance equalled that of the best-performing system with previously published results for the forensic_eval_01 test set. The system was then validated using two different populations (male speakers of Australian English and female speakers

SUBMITTER: Weber P 

PROVIDER: S-EPMC8908042 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature