An instantiable speech biometrics module with natural language interface: Implementation in the telephony environment

Abstract

This paper describes an implementation of the concept of conversational speech biometrics approach to personal authentication in the telephony environment. An application-independent module including a natural language-enabled part for verbal verification and identification and an acoustic speaker recognition engine for voice-print analysis are combined using a special verification/identification protocol which allows the application to adapt the session according to the dialog development and the query/command security. The results validate the feasibility and advantages of the concept of integrating the speaker and speech recognition technology. Users familiar with the system can log into the system with 2.7% or 3.2% false rejection and ca. 3×10-11% or 10-6% false acceptance rates in about 40 sec or 20 sec respectively. This makes speaker recognition for the first time deployable for high security applications even with today's technology-a claim that can't be made with other speaker recognition technology. The system has a client-server architecture and is suitable for various applications and platforms.