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  1. Home
  3. Addressing Challenges In Speaker Anonymization To Maintain Utility While Ensuring Privacy Of Pathological Speech.
  1. Home
  3. Addressing Challenges In Speaker Anonymization To Maintain Utility While Ensuring Privacy Of Pathological Speech.

Related Experiment Video

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Addressing challenges in speaker anonymization to maintain utility while ensuring privacy of pathological speech.

Soroosh Tayebi Arasteh1,2,3, Tomás Arias-Vergara4, Paula Andrea Pérez-Toro4

  • 1Pattern Recognition Lab, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany. soroosh.arasteh@fau.de.

Communications Medicine
|September 25, 2024

View abstract on PubMed

Summary
This summary is machine-generated.

Speaker anonymization enhances privacy in pathological speech, with minimal impact on diagnostic utility. Tailored strategies are crucial for different speech disorders to balance privacy and data usefulness.

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Area of Science:

  • Speech processing
  • Biomedical informatics
  • Privacy-preserving machine learning

Background:

  • Healthcare speech integration raises privacy concerns due to biometric data.
  • Speaker anonymization protects personal information while preserving linguistic content.
  • Anonymization of pathological speech remains underexplored despite critical privacy needs.

Purpose of the Study:

  • To investigate the impact of speaker anonymization on pathological speech.
  • To evaluate privacy enhancement, diagnostic utility, and demographic fairness.
  • To explore deep-learning and signal processing anonymization methods.

Main Methods:

  • Analysis of over 2700 speakers from multiple German institutions.
  • Evaluation of deep-learning-based and signal processing-based anonymization techniques.
  • Assessment of privacy (Equal Error Rate increase) and utility across various speech disorders.

    • Main Results:

    • Substantial privacy improvements observed, with Equal Error Rate increases up to 1933%.
    • Minimal impact on diagnostic utility for disorders like Dysarthria, Dysphonia, and Cleft Lip and Palate.
    • Varying anonymization effects across disorders necessitate disorder-specific strategies; consistent fairness across demographics.

    Conclusions:

    • Speaker anonymization effectively enhances privacy in pathological speech.
    • Customized, disorder-specific anonymization approaches are essential.
    • Strategies must balance privacy with diagnostic utility and address potential inversion attacks.