Mismatches between the anonymisation systems used to train and test speaker verification attacks can overestimate privacy protection, and a validation-vs-test gap can detect such mismatches.
State-of-the-art solutions operate upon multiple features extracted from the input speech signal
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The Risks and Detection of Overestimated Privacy Protection in Voice Anonymisation
Mismatches between the anonymisation systems used to train and test speaker verification attacks can overestimate privacy protection, and a validation-vs-test gap can detect such mismatches.