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GhostVec: A New Threat to Speaker Privacy of End-to-End Speech Recognition System
This paper demonstrates that an attacker can extract speaker information by querying speaker-adapted speech recognition (ASR) systems.
Reprogramming Self-supervised Learning-based Speech Representations for Speaker Anonymization
Current speaker anonymization methods, especially with self-supervised learning (SSL) models, require massive computational resources when hiding speaker identity.
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