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Voiceprint Recognition System also known as a Speaker Recognition System (SRS) is the best-known commercialized forms of voice Biometrics. Automated speaker recognition is the computing task of validating a user's claimed identity using characteristics extracted from their voices. In contrast to other biometric technologies which are mostly image based and require expensive proprietary hardware such as vendor’s fingerprint sensor or iris-scanning equipment, the speaker recognition systems are designed for use with virtually any standard telephone or on public telephone networks. The ability to work with standard telephone equipment makes it possible to support broad-based deployments of voice biometrics applications in a variety of settings. In automated speaker recognition the speech signal is processed to extract speaker-specific information. These speaker specific informations are used to generate voiceprint which cannot be replicated by any source except the original speaker. This makes speaker recognition a secure method for authenticating an individual since unlike passwords or tokens; it cannot be stolen, duplicated or forgotten. This literature survey paper gives brief introduction on SRS, and then discusses general architecture of SRS, biometric standards relevant to voice/speech, typical applications of SRS, and current research in Speaker Recognition Systems. We have also surveyed various approaches for SRS