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    Remote interview identity authentication based on audio comparison
    LIN Xiaoqin, MAO Min, GONG Lingling, JI Li
    Journal of East China Normal University(Natural Science)    2020, 2020 (6): 164-171.   DOI: 10.3969/j.issn.1000-5641.201942001
    Abstract348)   HTML527)    PDF (864KB)(93)      
    There are vulnerabilities in conducting remote interviews via simple real-time communication software. To this end, this paper proposes a simple and easy remote identity authentication scheme, whereby the recruitee only needs to use general communication software. There is no need to install special software or special hardware systems, which is particularly convenient for recruitees residing in remote areas or international locations. Recruiters need to install audio capture and screen capture software on their computer; once the recruitee is admitted into the interview, the recruiter can achieve identity authentication using audio and video comparison technology. In order to verify the feasibility of this scheme, we carried out two rounds of experiments, collecting remote voice data from seven different countries through a series of software analysis tools as well as manual comparison. The experimental results show that the scheme has a high degree of accuracy for identity authentication, laying the foundation for prospective fully automatic authentication.
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