Verification of speakers is the use of the voice pattern to check the authenticity of the individual. In this paper the speaker verification system has been implemented on a real time DSP processor TMS3206713 with a new technique is proposed. Feature extraction and speaker modeling are the two major steps involved in speaker verification systems. Being the most frequently used features extracted from the human speech signal, the Mel Frequency Cepstral Coefficients (MFCC) have been considered for feature extraction. In the speaker modeling, a new technique known as Multi Section Vector Quantization (MSVQ) is implemented in addition to normal Vector Quantization. These techniques MFCC and VQ are generally used to recognize the speaker from a database of trained users. Using Multi Section Vector Quantization we can compare the trained codebook of particular user with the utterance and the authenticity decision can be made. Thus the advantage of using Multi Section Vector Quantization in speaker verification system is being discussed and the efficiency of this system is presented. To make this real time system robust in most of the environments a noise filter is also added during the pre-processing stage.