Invention Grant
- Patent Title: Adaptive sound masking using cognitive learning
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Application No.: US15641622Application Date: 2017-07-05
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Publication No.: US10748518B2Publication Date: 2020-08-18
- Inventor: Aaron K. Baughman , Diwesh Pandey , John P. Perrino , Todd R. Whitman
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agent Monchai Chuaychoo
- Main IPC: G10K11/16
- IPC: G10K11/16 ; G10K11/175 ; H04R29/00 ; H04R1/40 ; H04R3/00 ; G06F3/01 ; H04R1/10 ; G06K9/00 ; H04R27/00

Abstract:
In an approach to adaptive sound masking, one or more computer processors analyze a surrounding of one or more users and stores in a database. The one or more computer processors receive a request from the one or more users for adaptive sound masking. The one or more computer processors analyzes a surrounding environment associated with the one or more users and storing a first information associated with the surrounding environment in a database. The one or more computer processors generate a cognitive sound mask base on the first information. The one or more computer processors produce a sound cone based on the cognitive sound mask and directing the sound cone at a distracting sound. The one or more computer processors adapt the sound cone based on changes to the surrounding environment.
Public/Granted literature
- US20190013003A1 ADAPTIVE SOUND MASKING USING COGNITIVE LEARNING Public/Granted day:2019-01-10
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