Improving On-Device Speaker Verification Using Federated Learning with Privacy
Improving On-Device Speaker Verification Using Federated Learning with Privacy
Information on speaker characteristics can be useful as side information in improving speaker recognition accuracy.However, such information is often private.This paper investigates how privacy-preserving learning can improve a speaker verification system, by enabling the use of privacy-sensitive speaker data to train an auxiliary classification model that predicts vocal characteristics of …