SPEAKER RECOGNITION SYSTEM

Speaker recognition is the process of automatically recognizing who is speaking on the basis of individual information included in speech waves. This technique makes it possible to use the speaker'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, security control for confidential information areas, and remote access to computers. Speaker recognition can be classified into identification and verification. 

Speaker identification is the process of determining which registered speaker provides a given utterance. Speaker verification, on the other hand, is the process of accepting or rejecting the identity claim of a speaker. Speaker recognition methods can also be divided into text-independent and textdependent methods. 

In a text-independent system, speaker models capture characteristics of somebody’s speech which show up irrespective of what one is saying. In a text-dependent system, on the other hand, the recognition of the speaker’s identity is based on his or her speaking one or more specific phrases, like passwords, card numbers, PIN codes, etc. All technologies of speaker recognition, identification and verification, textindependent and text-dependent, each has its own advantages and disadvantages and may requires different treatments and techniques. 

The choice of which technology to use is application-specific. The system that we will develop is classified as textindependent speaker identification system since its task is to identify the person who speaks regardless of what is saying. At the highest level, all speaker recognition systems contain two main modules: feature extraction and feature matching. 

Feature extraction is the process that extracts a small amount of data from the voice signal that can later be used to represent each speaker. Feature matching involves the actual procedure to identify the unknown speaker by comparing extracted features from his/her voice input with the ones from a set of known speakers.