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US Patent 11869261 Robust audio identification with interference cancellation

Patent 11869261 was granted and assigned to Roku Inc. on January, 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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Roku Inc.
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Current Assignee
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Roku Inc.
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
118692610
Patent Inventor Names
Peter Wendt0
Sunil Suresh Kulkarni0
Jose Pio Pereira0
Shashank Merchant0
Mihailo M. Stojancic0
Date of Patent
January 9, 2024
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Patent Application Number
181727550
Date Filed
February 22, 2023
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Patent Citations
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US Patent 7991770 Detecting repeating content in broadcast media
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US Patent 8171030 Method and apparatus for multi-dimensional content search and video identification
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US Patent 8189945 Digital video content fingerprinting based on scale invariant interest region detection with an array of anisotropic filters
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US Patent 8195689 Media fingerprinting and identification system
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US Patent 8229227 Methods and apparatus for providing a scalable identification of digital video sequences
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US Patent 7110454 Integrated method for scene change detection
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US Patent 7257237 Real time markerless motion tracking using linked kinematic chains
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US Patent 7542095 Method and system of noise-adaptive motion detection in an interlaced video sequence
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Patent Primary Examiner
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Jakieda R Jackson
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CPC Code
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G10L 21/0208
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G10L 15/22
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G10L 21/0272
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G10L 25/78
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G10L 25/51
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G10L 2015/223
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G10L 15/10
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Patent abstract

Audio distortion compensation methods to improve accuracy and efficiency of audio content identification are described. The method is also applicable to speech recognition. Methods to detect the interference from speakers and sources, and distortion to audio from environment and devices, are discussed. Additional methods to detect distortion to the content after performing search and correlation are illustrated. The causes of actual distortion at each client are measured and registered and learnt to generate rules for determining likely distortion and interference sources. The learnt rules are applied at the client, and likely distortions that are detected are compensated or heavily distorted sections are ignored at audio level or signature and feature level based on compute resources available. Further methods to subtract the likely distortions in the query at both audio level and after processing at signature and feature level are described.

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