Recognotion of Speaker Useing Mel Frequency Cepstral Coefficient & Vector Quantization for Authentication

Human Voice is characteristic for an individual. The ability to recognize the speaker by his/her voice can be a valuable biometric tool with enormous commercial as well as academic potential. Commercially, it can be utilized for ensuring secure access to any system. Academically, it can shed light on the speech processing abilities of the brain as well as speech mechanism. In fact, this feature is being used preliminarily along with other biometrics including face and finger print recognition for commercial security products. Speaker recognition is the method of automatically identify who is speaking on the basis of individual information integrated in speech waves. There are two types of speaker recognition systems basically divided into two –classification: speaker identification and speaker verification.