US2018247646A1PendingUtilityA1

Context aware hearing optimization engine

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Assignee: DOLBY LABORATORIES LICENSING CORPPriority: Sep 30, 2016Filed: Dec 21, 2017Published: Aug 30, 2018
Est. expirySep 30, 2036(~10.2 yrs left)· nominal 20-yr term from priority
Inventors:Jacob MeachamMatthew SillsRichard Fritz Lanman, IiiJeffrey Baker
G10L 25/30G10L 2021/02166G10L 15/30G10L 25/84G10L 2015/223H04R 2410/05G10L 15/08G10L 15/22G10L 2015/088H04R 25/505H04R 2225/41G10L 15/063G10L 25/81G10L 21/0364H04R 2420/07G10L 21/0216G10L 21/028G10L 25/51G10L 21/0208H04R 25/356
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Claims

Abstract

One or more context aware processing parameters and an ambient audio stream are received. One or more sound characteristics associated with the ambient audio stream are identified using a machine learning model. One or more actions to perform are determined using the machine learning model and based on the one or more context aware processing parameters and the identified one or more sound characteristics. The one or more actions are performed.

Claims

exact text as granted — not AI-modified
What is claimed is: 
     
         1 . A method, comprising:
 receiving one or more context aware processing parameters and an ambient audio stream;   identifying using a machine learning model one or more sound characteristics associated with the ambient audio stream;   determining using the machine learning model one or more actions to perform based on the one or more context aware processing parameters and the identified one or more sound characteristics; and   performing the one or more actions.

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