Underlying Text Independent Speaker Recognition

This paper discusses the evaluation of automatic speaker recognition from numerous perspectives. A general discussion of the Speaker recognition task, challenges and issues involved in its evaluation is discussed. Speaker recognition have many factors that found to have an impact on performance of recognition rate such as pitch, frequency, handset type and hack ground noise etc. We start with the fundamentals of automatic speaker recognition, features type concerning feature extraction technique and speaker modeling. Automatic Speaker Recognition is the procedure to automatically recognizing a person based on their speech waves including speaker specific information. It is a procedure to identification and verification of a speaker. Speaker Recognition supports access control for different voice based services such as voice dialing, voice mail, telephone shopping, database access services, banking services by telephone, information and reservation services, security control for confidential information, remote access to computers and the another important application of speaker recognition technology is in forensics.