Important methodological aspects of Technical Forensic Speaker Identification are discussed and exemplified. The centrality of the Likelihood Ratio of Bayes' Theorem as the proper way of forensically evaluating speech evidence is emphasised, as well as the many different types of evidence that are of use in discriminating same-speaker from differentspeaker speech samples.
Cite as: Rose, P. (2004) Technical forensic speaker identification from a Bayesian linguist's perspective. Proc. The Speaker and Language Recognition Workshop (Odyssey 2004), 3-10
@inproceedings{rose04_odyssey,
author={Phil Rose},
title={{Technical forensic speaker identification from a Bayesian linguist's perspective}},
year=2004,
booktitle={Proc. The Speaker and Language Recognition Workshop (Odyssey 2004)},
pages={3--10}
}