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 alterna-tive to knowledge-based authentication methods like passwords. As more and more personal data is saved on smartphones and other mobile devices, their secu-rity 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 veri-fication 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 rec-ognition 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. 1