Invention Grant
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

  • Patent Title: Biometric control method on the telephone network with speaker verification technology by using an intra speaker variability and additive noise unsupervised compensation
  • Patent Title (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
  • Application No.: US12016622
    Application Date: 2008-01-18
  • Publication No.: US08050920B2
    Publication Date: 2011-11-01
  • Inventor: Néstor Jorge Becerra Yoma
  • Applicant: Néstor Jorge Becerra Yoma
  • Applicant Address: CL Santiago
  • Assignee: Universidad de Chile
  • Current Assignee: Universidad de Chile
  • Current Assignee Address: CL Santiago
  • Agency: Hasse & Nesbitt LLC
  • Agent Daniel F. Nesbitt
  • Main IPC: G10L17/00
  • IPC: G10L17/00
Biometric control method on the telephone network with speaker verification technology by using an intra speaker variability and additive noise unsupervised compensation
Abstract:
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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