Use of relevant data, quantitative measurements, and statistical models to calculate a likelihood ratio for a Chinese forensic voice comparison case involving two sisters.

Use of relevant data, quantitative measurements, and statistical models to calculate a likelihood ratio for a Chinese forensic voice comparison case involving two sisters.

Zhang, Cuiling;Morrison, Geoffrey Stewart;Enzinger, Ewald;
forensic science international 2016 Vol. 267 pp. 115-124
268
zhang2016useforensic

Abstract

Currently, the standard approach to forensic voice comparison in China is the aural-spectrographic approach. Internationally, this approach has been the subject of much criticism. The present paper describes what we believe is the first forensic voice comparison analysis presented to a court in China in which a numeric likelihood ratio was calculated using relevant data, quantitative measurements, and statistical models, and in which the validity and reliability of the analytical procedures were empirically tested under conditions reflecting those of the case under investigation. The hypotheses addressed were whether the female speaker on a recording of a mobile telephone conversation was a particular individual, or whether it was that individual's younger sister. Known speaker recordings of both these individuals were recorded using the same mobile telephone as had been used to record the questioned-speaker recording, and customised software was written to perform the acoustic and statistical analyses.

Citation

ID: 51180
Ref Key: zhang2016useforensic
Use this key to autocite in SciMatic or Thesis Manager

References

Blockchain Verification

Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
51180
Unique Identifier:
S0379-0738(16)30347-4
Network:
Scimatic Chain (ID: 481)
Loading...
Blockchain Readiness Checklist
Authors
Abstract
Journal Name
Year
Title
5/5
Creates 1,000,000 NFT tokens for this article
Token Features:
  • ERC-1155 Standard NFT
  • 1 Million Supply per Article
  • Transferable via MetaMask
  • Permanent Blockchain Record
Blockchain QR Code
Scan with Saymatik Web3.0 Wallet

Saymatik Web3.0 Wallet