Speech processing is more common day by day to provide enormous safety. The speech for the purpose of
authentication is commonly used. Recognition of the speaker is the method that can check and recognize the speaker. The
scheme of speech recognition is distinct from the scheme of speaker recognition. Recognition of speakers is commonly
used in sectors, hospitals, laboratories, etc. Its benefits are safer, easier to implement, more user-friendly. Speaker
identification method is one of the most commonly used techniques for the region where safety is very crucial. This article
presents an overview of various methods that can be used to recognize speakers’ systems, the feature extraction techniques
such as Linear Predictive Coding (LPC), Linear Predictive Cepstral Coefficients (LPCC), Unique Mapped Real
Transform (UMRT), Real Cepstral Coefficients (RCC), “Mel-frequency Cepstrum” (MFCC), in addition to various
classification techniques such as “Gaussian mixture model (GMM)”, “Dynamic Time Warping (DTW)”, Support Vector
Machine (SVM), Neural Network (NN), “Vector Quantization” (VQ). The primary purpose of is to explain the common
speaker recognition methods. The obtained results are that, MFCC is chosen for high efficiency and low complexity. and
GMM is helpful in classifying less memory and less planning and efficient test results.