Likelihood Ratio Framework
Likelihood Ratio Framework is a statistical inference methodology in forensic science and speaker identification that quantifies the strength of evidence by computing the ratio of the probability of observing the evidence under the hypothesis that the speech samples originate from the same speaker to the probability under the hypothesis that they originate from different speakers.
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2017–2026
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Louis L. Scharf, B. Friedlander · IEEE Transactions on Signal Processing · 1994 · 942 citations · Full text
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Centralne Laboratorium Kryminalistyczne Policji, Poland
14 publications · 429 citations
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New Zealand Institute for Public Health and Forensic Science, New Zealand
9 publications · 274 citations
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University of Lausanne
Lausanne, Switzerland
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42 publications
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Australian National University
Canberra, Australia
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29 publications
1.1K citations
Netherlands Forensic Institute
The Hague, Netherlands
16 h-index
69 publications
2.2K citations
Leiden University
Leiden, The Netherlands
14 h-index
79 publications
28K citations
Massachusetts Institute of Technology
Cambridge, United States
13 h-index
55 publications
5.2K citations

UNSW Sydney
Sydney, Australia
12 h-index
21 publications
1.5K citations

University of Edinburgh
Edinburgh, United Kingdom
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30 publications
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Universidad Autónoma de Madrid
Madrid, Spain
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34 publications
2K citations
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JOFS · 16 publications · 640 citations
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14 publications · 488 citations
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