Continuous speaker verification in realtime

Abstract

Biometric speaker verification deals with the recognition of voice and speech features to reliably identify a user and to offer him a comfortable alternative to knowledge-based authentication methods like passwords. As more and more personal data is saved on smartphones and other mobile devices, their security is in the focus of recent applications. Continuous Speaker Verification during smartphone phone calls offers a convenient way to improve the protection of these sensitive data. This paper describes an approach to realize a system for continuous speaker verification during an ongoing phone call. The aim of this research was to investigate the feasibility of such a system by creating a prototype. This prototype shows how it is possible to use existing technologies for speaker verification and speech recognition to compute segments of a continuous audio signal in real-time. In line with experiments, a simulation study was made in which 14 subjects first trained the system with a freely spoken text and then verified themselves afterwards. Ad- ditional intruder tests against all other profiles where also simulated.