发明授权
US08050920B2 Biometric control method on the telephone network with speaker verification technology by using an intra speaker variability and additive noise unsupervised compensation 有权
使用扬声器验证技术的电话网络上的生物统计控制方法,通过使用内部扬声器变化和加性噪声无监督补偿

  • 专利标题: Biometric control method on the telephone network with speaker verification technology by using an intra speaker variability and additive noise unsupervised compensation
  • 专利标题(中): 使用扬声器验证技术的电话网络上的生物统计控制方法,通过使用内部扬声器变化和加性噪声无监督补偿
  • 申请号: US12016622
    申请日: 2008-01-18
  • 公开(公告)号: US08050920B2
    公开(公告)日: 2011-11-01
  • 发明人: Néstor Jorge Becerra Yoma
  • 申请人: Néstor Jorge Becerra Yoma
  • 申请人地址: CL Santiago
  • 专利权人: Universidad de Chile
  • 当前专利权人: Universidad de Chile
  • 当前专利权人地址: CL Santiago
  • 代理机构: Hasse & Nesbitt LLC
  • 代理商 Daniel F. Nesbitt
  • 主分类号: G10L17/00
  • IPC分类号: G10L17/00
Biometric control method on the telephone network with speaker verification technology by using an intra speaker variability and additive noise unsupervised compensation
摘要:
A large-scale attendance, productivity, activity and availability biometric control method using the telephone network, for individual client users with speaker verification technology based on limited enrolling data and short verification sentences. The method includes the steps of registering and enrolling a client user; generating, storing and indexing a template and a reference average spectrum with a client user PIN; prompting the client user during a future verification event to pronounce the enrolling/verification sentence associated with the PIN to provide a speech signal; estimating a verification distance between the PIN indexed template and the speech signal pronounced by the client user, using the PIN reference average spectrum indexed; validating the telephone number; deciding if the pronounced speech signal pronounced by the client user has been validated based on the verification distance, with unsupervised compensation of the noisy input signal's spectrum if its difference from the speaker model is small, instead of adapting the user model spectrum; optionally repeating the steps of prompting, estimating, validating and deciding for a limited number of times; and accepting or rejecting the future verification event.
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