Invention Grant
- Patent Title: Neural network-based loudspeaker modeling with a deconvolution filter
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Application No.: US16570844Application Date: 2019-09-13
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Publication No.: US10715913B2Publication Date: 2020-07-14
- Inventor: Ajay Iyer , Douglas J. Button
- Applicant: Harman International Industries, Incorporated
- Applicant Address: US CT Stamford
- Assignee: Harman International Industries, Incorporated
- Current Assignee: Harman International Industries, Incorporated
- Current Assignee Address: US CT Stamford
- Agency: Artegis Law Group, LLP
- Main IPC: G06F15/18
- IPC: G06F15/18 ; H04R3/04 ; H04R3/00 ; G05B13/02 ; G06F3/16 ; H04R29/00 ; H04S7/00

Abstract:
A technique for controlling a loudspeaker system with an artificial neural network includes filtering, with a deconvolution filter, a measured system response of a loudspeaker and a reverberant environment in which the loudspeaker is disposed to generate a filtered response, wherein the measured system response corresponds to an audio input signal applied to the loudspeaker while the loudspeaker is disposed in the reverberant environment. The techniques further include generating, via a neural network model, an initial neural network output based on the audio input signal, comparing the initial neural network output to the filtered response to determine an error value, and generating, via the neural network model, an updated neural network output based on the audio input signal and the error value.
Public/Granted literature
- US20200007986A1 NEURAL NETWORK-BASED LOUDSPEAKER MODELING WITH A DECONVOLUTION FILTER Public/Granted day:2020-01-02
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