Adversarial Disentanglement of Speaker Representation for Attribute-Driven Privacy Preservation

Understand

In speech technologies, speaker's voice representation is used in many applications such as speech recognition, voice conversion, speech synthesis and, obviously, user authentication.

• Modern vocal representations of the speaker are based on neural embeddings.
• In addition to the targeted information, these representations usually contain sensitive information about the speaker, like the age, sex, physical state, education level or ethnicity.
• In order to allow the user to choose which information to protect, we introduce in this paper the concept of attribute-driven privacy preservation in speaker voice representation.