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US Patent 12026241 Detection of replay attack

Patent 12026241 was granted and assigned to Cirrus Logic on July, 2024 by the United States Patent and Trademark Office.

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Is a
Patent
Patent
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Patent attributes

Patent Applicant
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Cirrus Logic International Semiconductor Ltd.
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Current Assignee
Cirrus Logic
Cirrus Logic
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
120262410
Patent Inventor Names
John Paul Lesso0
Date of Patent
July 2, 2024
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Patent Application Number
171934300
Date Filed
March 5, 2021
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Patent Citations
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US Patent 8489399 System and method for verifying origin of input through spoken language analysis
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US Patent 8577046 Apparatus for estimating sound source direction from correlation between spatial transfer functions of sound signals on separate channels
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US Patent 8856541 Liveness detection
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US Patent 8997191 Gradual template generation
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US Patent 9049983 Ear recognition as device input
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US Patent 7016833 Speaker verification system using acoustic data and non-acoustic data
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US Patent 7039951 System and method for confidence based incremental access authentication
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US Patent 7418392 System and method for controlling the operation of a device by voice commands
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Patent Primary Examiner
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Thomas H Maung
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CPC Code
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G10L 17/00
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G10L 17/04
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G10L 25/51
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G10L 25/93
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G06F 21/32
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G10L 17/06
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G10L 25/90
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G10L 13/027
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Patent abstract

Detecting a replay attack on a voice biometrics system comprises receiving a speech signal; forming an autocorrelation of at least a part of the speech signal; and identifying that the received speech signal may result from a replay attack based on said autocorrelation. Identifying that the received speech signal may result from a replay attack may be achieved by: comparing the autocorrelation with a reference value; and identifying that the received speech signal may result from a replay attack based on a result of the comparison of the autocorrelation with the reference value, or by: supplying the autocorrelation to a neural network trained to distinguish autocorrelations formed from speech signals resulting from replay attacks from autocorrelations formed from speech signals not resulting from replay attacks.

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