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US 2018/0122401 A1Published application
Adaptive correction of loudspeaker using recurrent neural network
AssigneeHarman International Industries, Incorporated
InventorsAjay IYER, Douglas J. BUTTON
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Abstract
An audio system is described that corrects for linear and nonlinear distortions. The system can include a physical loudspeaker system responsive to an audio input signal, an adaptive circuit, e.g., with a recurrent neural network, to correct for non-linear distortions from the loudspeaker.
Claims18
An audio system, comprising:
- a physical system including a loudspeaker configured to produce audio in response to an audio input signal;
- an audio processor to output a processed signal to the loudspeaker, the audio processor including a recurrent neural network to correct for non-linear distortions from the loudspeaker;
- and
- an adaptive feedback system receiving an audio output from the loudspeaker and comparing the received audio output to a target to provide correction parameters to the recurrent neural network, the adaptive feedback system is configured to predict performance of the loudspeaker receiving an output from the first recurrent neural network and to provide corrective parameters to the recurrent neural network.
1 more element
An audio system, comprising:
- a loudspeaker that includes non-linear distortion and linear distortion based on an audio signal input to the loudspeaker;
- non-linear distortion removal parameters developed from a first recurrent neural network to correct for non-linear distortions from the loudspeaker and a second recurrent neural network to predict performance of the loudspeaker receiving an output from the first recurrent neural network and correct parameters of the first recurrent neural network;
- and
- circuitry to apply the non-linear distortion removal parameters to the audio signal in the loudspeaker.
1 more element
Dependencies are inferred from the claim text.