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Time Lapse Effects (Case Study)

  • Homayoon Beigi
Chapter

Abstract

The effect of time-lapse has not been studied well in biometrics. Although the literature is full of brief discussions about time-lapse effects in speaker recognition, no proper quantitative study has been done on the subject. [9, 8] There are two main types of time-lapse effects: short-term and long-term (aging). Here, short-term effects are studied for speaker recognition (speaker identification and speaker verification). The RecoMadeEasy1 speaker recognition engine has been used to obtain baseline results for 22 speakers who have been involved in a persistent (ongoing) study.

Keywords

Gaussian Mixture Model Time Lapse Equal Error Rate Speaker Recognition Speaker Verification 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media, LLC 2011

Authors and Affiliations

  1. 1.Recognition Technologies, Inc.Yorktown HeightsUSA

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