Invention Grant
- Patent Title: Deep learning speaker compensation
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Application No.: US17137260Application Date: 2020-12-29
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Publication No.: US11622194B2Publication Date: 2023-04-04
- Inventor: Powen Ru , Jin Hee Kim , Nathan Wong , Pratul Saini
- Applicant: Nuvoton Technology Corporation
- Applicant Address: CN Taiwan
- Assignee: Nuvoton Technology Corporation
- Current Assignee: Nuvoton Technology Corporation
- Current Assignee Address: CN Taiwan
- Agency: Kilpatrick Townsend & Stockton LLP
- Main IPC: H04R3/04
- IPC: H04R3/04 ; H04R25/00 ; H04R29/00 ; G06N3/04 ; G06N3/08

Abstract:
A recurrent neural network is employed in a loudspeaker system to compensate the distortion of the system based upon a source signal (content) and the sensing output of a sensing circuit (context). A frequency domain transform is selected to provide mapping between the source signal and a recorded signal; and enable reconstruction of desirable playback. Various sensing-related features and source-related features are derived to serve as the auxiliary information. A desirable content is therefore generated based upon the original content and the context.
Public/Granted literature
- US20220210555A1 DEEP LEARNING SPEAKER COMPENSATION Public/Granted day:2022-06-30
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