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.
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© 2011 Springer Science+Business Media, LLC
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Beigi, H. (2011). Time Lapse Effects (Case Study). In: Fundamentals of Speaker Recognition. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-77592-0_20
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DOI: https://doi.org/10.1007/978-0-387-77592-0_20
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