- Manas A. Pathak, B. Raj. 2011. Privacy Preserving Speaker Verification Using Adapted GMMs. Abstract: In this paper we present an adapted UBM-GMM based privacy preserving speaker veriﬁcation (PPSV) system, where the system is not able to observe the speech data provided by the user and the user does not observe the models trained by the system. These privacy criteria are important in order to prevent an adversary having unauthorized access to the user’s client device from impersonating a user and also from another adversary who can break into the veriﬁcation system can learn about the user’s speech patterns to impersonate the user in another system. We present protocols for speaker enrollment and veriﬁcation which preserve privacy according to these requirements and report experiments with a prototype implementation on the YOHO dataset.
