Vocal print dynamic password modeling and verification method

Abstract

The invention discloses a vocal print dynamic password modeling and verification method, and relates to a voice biometric feature recognition technology. A vocal print dynamic password modeling and verification method having the following advantages is provided, through the method, the modeling process only needs to be performed once in the vocal print registration process, and the modeling process does not need to be performed again in the verification process, so advantages of convenience and high efficiency can be realized, HMM and GMM(or i-vector) are combined to better fuse the voice recognition technology and the vocal print recognition technology together so as to make the identity authentication system be more reliable. The method comprises the following steps: 1) the vocal print modeling step in which a vocal print system is used to prompt a user to input voice, and after the voice is received and passes examination, vocal print modeling is performed; 2) the vocal print verification in which the vocal print system is used to generate a random dynamic password, generate corresponding restricted syntax, and then perform voice recognition and vocal print confirmation according to the voice inputted by the user; 3) and the vocal print system is used to compare the fusion score with a threshold value set in advance, and give a result of acceptance and refusal. According to the invention, the recording pretending condition can be effectively prevented, so the accuracy and reliability of a vocal print recognition system can be greatly improved.

Description

technical field [0001] The invention relates to a voice biometric feature recognition technology, in particular to a modeling and verification method of a voiceprint dynamic password to prevent imitation of recording. Background technique [0002] Nowadays, information security has developed into a hot issue that netizens all over the world pay close attention to. Just at the end of 2011, it was reported on the Internet that CSDN.NET, the world's largest Chinese IT community, was attacked by hackers, 6 million user accounts and plaintext passwords were leaked, and user information was widely disseminated, causing collective panic among netizens. From this point of view, the traditional means of identity security authentication has been seriously threatened. Compared with traditional identity authentication based on text password matching, biometric technology has irreplaceable advantages. Biometric recognition technology includes fingerprint recognition, face recognition, ...

AI Technical Summary

Problems solved by technology

But this application adopts the whole character string corresponding to the dynamic password (such as "438259") as the HMM (Hidden Markov Model) modeling unit, which is inconvenient to expand (for example, to replace characters, replace numbers with non-number Chinese characters, then The original pronunciation of characters cannot be used), and every time it is verified, it needs to be re-modeled, that is, to re-train the corresponding crypto-acoustic HMM, not only the real-time performance will be reduced, but also the reliability will be affected

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