Generating gender-ambiguous voices for privacy-preserving speech recognition
Generating gender-ambiguous voices for privacy-preserving speech recognition
Our voice encodes a uniquely identifiable pattern which can be used to infer private attributes, such as gender or identity, that an individual might wish not to reveal when using a speech recognition service.To prevent attribute inference attacks alongside speech recognition tasks, we present a generative adversarial network, GenGAN, that …