A training-free inference attack that simulates the x-vector anonymization pipeline for each suspect and compares extracted x-vectors outperforms ML-based speaker identification attacks on anonymized speech.
The voiceprivacy 2022 challenge: Progress and perspectives in voice anonymisation,
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Inference Attacks for X-Vector Speaker Anonymization
A training-free inference attack that simulates the x-vector anonymization pipeline for each suspect and compares extracted x-vectors outperforms ML-based speaker identification attacks on anonymized speech.