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Related Experiment Video

Updated: Jul 13, 2026

Memorization-Based Training and Testing Paradigm for Robust Vocal Identity Recognition in Expressive Speech Using Event-Related Potentials Analysis
05:48

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Published on: August 9, 2024

Voice disguise and automatic speaker recognition.

Cuiling Zhang1, Tiejun Tan

  • 1Department of Forensic Science, China Criminal Police University, Tawan Street No. 83, Huanggu District, Shenyang 110035, PR China.

Forensic Science International
|July 25, 2007
PubMed
Summary

A new Forensic Automatic Speaker Recognition System (FASRS) was tested against 10 common voice disguises. Results show voice disguises significantly impact speaker recognition performance in forensic casework.

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Area of Science:

  • Forensic Science
  • Biometrics
  • Speech Processing

Background:

  • Speaker recognition systems are crucial in forensic casework.
  • Voice disguise is a common challenge affecting the accuracy of speaker identification.
  • Evaluating system performance against various disguises is essential for forensic applications.

Purpose of the Study:

  • To introduce a newly developed Forensic Automatic Speaker Recognition System (FASRS).
  • To investigate the impact of 10 common voice disguises on the performance of the FASRS.
  • To evaluate the effectiveness of the FASRS in speaker identification and verification tasks under disguise conditions.

Main Methods:

  • Developed and utilized a Forensic Automatic Speaker Recognition System (FASRS).
  • Collected voice samples from 20 male college students, including normal and 10 types of disguised voices.
  • Performed speaker identification and speaker verification by comparing disguised voices against a database of normal voices.

Main Results:

  • The performance of the FASRS was evaluated across 10 different voice disguises.
  • Speaker recognition accuracy was found to be influenced by the type of voice disguise employed.
  • Detailed results summarize the system's performance under various disguise scenarios.

Conclusions:

  • Voice disguises present a significant challenge to the performance of automatic speaker recognition systems in forensic contexts.
  • The newly developed FASRS shows varying degrees of susceptibility to different voice disguises.
  • Further research is needed to enhance the robustness of speaker recognition systems against voice manipulation techniques.