Fraud prevention system and method capable of identifying gender and age based on voiceprints

Abstract

The system comprises a fraud prevention system and method capable of identifying gender and age based on voiceprints. The system includes a voice data collecting module, an mfcc feature extracting module, a Kmeans-based clustering tag feature extracting module, a GBDT-based supervised learning classifier model module, a model prediction module, a verification module, an identity data submitting module and a fraud probability calculating module; the voice data collecting module, the mfcc feature extraction module, the Kmeans-based clustering tag feature extracting module, the GBDT-based supervised learning classifier model module, the model prediction module, the verification module and the fraud probability calculating module are sequentially connected with one another; and the identity data submitting module is connected with the verification module. With the fraud prevention system and method of the invention adopted, the real identity of a borrower can be verified remotely through fingerprint identification, and therefore, a fraud prevention effect can be achieved, and the legitimate rights and interests of consumers can be protected, and network service security can be maintained.

Description

technical field [0001] The invention relates to an algorithm system and method, in particular to an anti-fraud system and method for identifying gender and age based on voiceprints. Background technique [0002] Modern network technology is becoming more and more developed, and network services are becoming more and more diversified, especially network automated credit borrowing. However, it is difficult for this kind of service to remotely verify the real identity of the borrower, because the borrower may forge the loan information (photo, etc.) application materials) or steal other people's information to defraud the loan. Contents of the invention [0003] The technical problem to be solved by the present invention is to provide an anti-fraud system and method based on voiceprint identification of gender and age, which can remotely verify the real identity of the borrower through fingerprint identification to achieve the effect of anti-fraud. [0004] The present inven...

AI Technical Summary

Problems solved by technology

[0002] Modern network technology is becoming more and more developed, and network services are becoming more and more diversified, especially network automated credit borrowing. However, it is difficult for this kind of service to remotely verify the real identity of the borrower, because the borrower may forge the loan information (photo, etc.) application materials) or steal other people’s information to defraud the loan

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