期刊名称：International Journal of Computer Science and Network
印刷版ISSN：2277-5420
出版年度：2015
卷号：4
期号：6
页码：943-951
出版社：IJCSN publisher
摘要：This paper gives an overview of automatic speaker recognition technology for biometric authentication. A person can be identified by various characteristics such as signature, fingerprints, voice, facial features, etc. This type of authentication methods is known as biometric person authentication. Speaker recognition refers to the process of automatically recognizing who is speaking on the basis of individual information included in speech waves. For a reliable and high accuracy of speech recognition, simple and efficient representation methods are required. In this paper, coefficients are extracted from incoming speech signal using MFCC and it represent trained vector of the speaker. Vector Quantization is the technique used for identification. To identify the speaker, the Euclidean distance between the acoustic vector of test input signal and the mapped codebook is calculated. The trained vector that produces the smallest Euclidean distance is identified as speaker
