Analysis of Digital Signal Features Extraction Based on LBP Operator

Abstract: Digital voice signal is one of the most widely used type of digital data, it is an important and applicable type of data, & it is used in various applications such human identification systems. Digital voice file usually has a big Size, which means increasing the complexity of the recognition system and decreasing the identification system efficiency. To simplify the recognition system and to increase the system efficiency and accuracy we will introduce a method based on LBP to create a unique voiceprint for each wave file, these voiceprints can be used in a recognition system to identify the person and the spoken voice, we will also discuss how the wave file parameters such as amplitude and sampling rate affect the voiceprint.

Keywords: Digital signal, LBP, CSLBP, MLBP, voiceprint, throughput, efficiency, unique features