Automatic Speaker Recognition System

Abstract

Speech contains many features that can be used to determine both gender and speaker identity and it is a natural form of communication between humans. Speech processing has been one of the most sensational areas of signal processing. Human voice is considered one of the main biometrics that could be used to identify person where the unique characteristics of one or more of biometrics for each person can be used. One of the biometrics that a person can be distinguished by his\here voice. Thus, we point to speaker recognition systems as those technologies, which used human speech to recognize. This paper presents an overview of automatic speaker recognition system (ASR) technique used for feature extraction such as MFCC, LPCC, and wavelet transformation