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Speaker Biometric Authentication      

Speaker biometrics statistically measures aspects of the human voice that are unique to an individual  for the purpose of Information Systems security authentication.  The growth of speech applications across expanding networks, such as Voice over IP and cellular networks, has increased the need for speaker authentication. 

 

Speaker biometrics are often referred to as speaker recognition in the speech development community.  Speaker recognition is in contrast to speech recognition which recognizes the content of what the speaker says.   As described on the biometrics basics library page, speaker verification verifies the speakers claimed identity and speaker identification identifies a speaker from a set of known speakers.

 

There are THREE TYPES of speaker authentication;

  • TEXT DEPENDENT speaker authentication is dependent on a specific word or phrase used during verification.  The speaker has enrolled with the same or very similar words.  Text dependent methods are typically more accurate given limited amounts of speech. 

  • TEXT INDEPENDENT speaker authentication is independent of the words used during verification.  The speaker has enrolled with free form controlled speech.  Text independent methods are more flexible than text dependent methods.  It can be used simultaneously with speech recognition to conveniently recognize what a person says as well as who they are.  

  • TEXT PROMPTED or challenge-response prompts the speaker for randomly selected words or phrases to be used for verification.  Text prompted methods protect against playback of recorded speech.

 
   
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