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Found 2 papers, 1 papers with code
Representation Learning for Audio Privacy Preservation using Source Separation and Robust Adversarial Learning
Privacy preservation has long been a concern in smart acoustic monitoring systems, where speech can be passively recorded along with a target signal in the system's operating environment.
Adversarial Representation Learning for Robust Privacy Preservation in Audio
In this study, we propose a novel adversarial training method for learning representations of audio recordings that effectively prevents the detection of speech activity from the latent features of the recordings.
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