privacy

Privacy-Preserving Adversarial Representation Learning in ASR: Reality or Illusion?

In this work, we propose a privacy-preserving framework based on speaker-adversarial training of end-to-end ASR. We evaluate the system using closed-set and open-set identification and observe a strange disparity in results.