In this paper, the development of text independent speaker identification for authentication is focused. The speaker identification system is developed using various feature extraction techniques like Mel-Frequency Cepstral Coefficients (MFCCs), Perceptual Linear prediction (PLP), Revised Perceptual Linear Prediction (RPLP) for feature extraction. The system is extended with a modification in RPLP, in order to achieve a better result. The speaker identification system is trained and identified with Gaussian Mixture Model (GMM) for modeling. This system is intended for deployment of speaker identification system in real life applications, for which Graphical User Interface Development Environment (GUIDE) is experimented.