INDIVIDUAL IDENTIFICATION SYSTEM DESIGN THROUGH VOICE USING LINEAR PREDICTIVE CODING METHOD AND K-NEAREST NEIGHBOR

Humans have a variety of characteristics that are different from one another. Characteristics possessed by humans genuine which can be used as differentiator between individual and another, is sound. Voice recognition called speech recognition. In this study, it was developed an voice system using combination the Linear Predictive Coding (LPC) method feature extraction K-Nearest Neighbor (K-NN) classification in process. Testing done testing changes several parameters, namely LPC order value, number frames, K distance methods. The results parameter test showed fairly good presentation 73.56321839% with or 8, frames 480, value 5, Chebychev.