BA-LR: Binary-Attribute-based Likelihood Ratio estimation for forensic voice comparison

Imen Ben Amor, Jean-Francois Bonastre

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DOI: 10.1109/iwbf55382.2022.9794542
Published: 2022-04-20
Container: 2022 International Workshop on Biometrics and Forensics (IWBF)
Publisher: IEEE
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1109/iwbf55382.2022.9794542,
  title = {BA-LR: Binary-Attribute-based Likelihood Ratio estimation for forensic voice comparison},
  author = {Imen Ben Amor and Jean-Francois Bonastre},
  year = {2022},
  journal = {2022 International Workshop on Biometrics and Forensics (IWBF)},
  doi = {10.1109/iwbf55382.2022.9794542},
  url = {https://doi.org/10.1109/iwbf55382.2022.9794542}
}

RIS

TY  - JOUR
TI  - BA-LR: Binary-Attribute-based Likelihood Ratio estimation for forensic voice comparison
AU  - Imen Ben Amor
AU  - Jean-Francois Bonastre
PY  - 2022
JO  - 2022 International Workshop on Biometrics and Forensics (IWBF)
DO  - 10.1109/iwbf55382.2022.9794542
UR  - https://doi.org/10.1109/iwbf55382.2022.9794542
ER  -

APA

Amor, I. B., & Bonastre, J. (2022). BA-LR: Binary-Attribute-based Likelihood Ratio estimation for forensic voice comparison. 2022 International Workshop on Biometrics and Forensics (IWBF). https://doi.org/10.1109/iwbf55382.2022.9794542

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crossref · retrieved 2026-11-07T09:13:00.580Z