Speaker Recognition Using Mel-Frequency Cepstrum Coefficients and Artificial Neural Network for Security Systems

In this study; the sample sounds of the speakers are transfered to computer for identifing the speaker. Study is based on three steps; In first step analog soun d that taken is converted to data to be processed and determine own characteristic of each sound. in second step converted sounds called data are used to train neural network. at last step trained neural network is test by the test sounds and obtained istatistical informations.