Published Paper Details:

The purpose of this paper is to develop a Speaker Identification System which can recognize speakers by their acoustic characteristics of speech. The proposed system would be a text independent system means the user is free to speak any word or sentence. Speaker recognition is the process of automatically recognizing who is speaking on the basis of individual information include in speech waves. This technique makes it possible to use the speech�s voice to verify their identity and control access to services such as voice dialing, banking by telephone, telephone shopping, database access services, information services, voice mail, Forensic speaker recognition ,security control for confidential information areas, and remote access to computers. Wavelet Transform particularly Discrete Wavelet Transform (DWT) is used in order to extract the vocal characteristics of the speakers in speech signal whereas KNearest Neighbor (KNN) algorithm is used for feature matching, which shows a very much improvement in the identification rate. The feature extraction is done by six levels wavelet decomposition and these features are extracted from wavelet coefficients by mean, standard deviation and ratios between them.