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Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody
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Verifying authorship for forensic purposes: A computational protocol and its validation.

Patrick Juola1

  • 1Juola & Associates, 276 W Schwab Ave. Munhall, PA 15120, USA.

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Summary
This summary is machine-generated.

A new computer program can identify document authors by analyzing writing style, achieving 77% accuracy in large-scale blog experiments. This tool offers a repeatable and reproducible method for forensic linguistics, advancing forensic science.

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Authorship attributionAuthorship verificationComputational linguisticsDigital forensicsLinguisticsQuestioned documents

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Area of Science:

  • Forensic Science
  • Computational Linguistics
  • Digital Forensics

Background:

  • Author identification is crucial in forensic science but often relies on subjective analysis of writing style.
  • Subjective methods in pattern evidence analysis present challenges in repeatability and reproducibility.

Purpose of the Study:

  • To develop and validate a computer program for objective author identification from documents.
  • To address the limitations of subjective analysis in forensic linguistics.

Main Methods:

  • The study developed a program to compare a known document with a questioned document for authorship.
  • Large-scale controlled experiments were conducted using over 32,000 English language blog document pairs.

Main Results:

  • The developed computer program achieved a measured accuracy of 77% in identifying document authors.
  • The system demonstrated consistent performance across a substantial dataset.

Conclusions:

  • The computer program provides an objective, repeatable, and reproducible solution for author identification in forensic contexts.
  • This advancement is significant for the field of forensic linguistics and the broader forensic science community.