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US 2022/0027709 A1Published application
Data denoising based on machine learning
AssigneeNokia Technologies Oy
InventorMikko HONKALA
Life of this patent
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Abstract
Systems, apparatuses, and methods are described for configuring denoising models based on machine learning. A denoising model (301) may remove noise from data samples (451). A noise model (403) may include noise in the data samples. Data samples processed by the denoising model (453) and/or the noise model (455) and original data samples (457) may be input into a discriminator (405). The discriminator may make determinations to classify input data samples. The denoising model and/or the discriminator may be trained based on the determinations.
Claims25
1-55. (canceled)
A method comprising:
- receiving, by a computing device, a first set of noisy data samples and a second set of noisy data samples;
- denoising, using a first neural network comprising a first plurality of parameters, the first set of the noisy data samples to generate a set of denoised data samples;
- processing, using a noise model, the set of the denoised data samples to generate a third set of noisy data samples;
- determining, using a second neural network and based on the second set of the noisy data samples and the third set of the noisy data samples, a discrimination value;
- and
- adjusting, based on the discrimination value, the first plurality of parameters.
3 more elements
An apparatus comprising:
- one or more processors;
- and
- one or more memory units storing instructions that, when executed by the one or more processors, configured to cause the apparatus to:
- receive a first set of noisy data samples and a second set of noisy data samples;
- denoise, using a first neural network comprising a first plurality of parameters, the first set of noisy data samples to generate a set of denoised data samples;
- process, using a noise model, the set of denoised data samples to generate a third set of noisy data samples;
- determine, using a second neural network and based on the second set of noisy data samples and the third set of noisy data samples, a discrimination value;
- and
- adjust, based on the discrimination value, the first plurality of the parameters.
6 more elements
An apparatus comprising:
- one or more processors;
- and
- memory storing instructions that, when executed by the one or more processors, cause the apparatus to:
- receive a denoising model, wherein the denoising model is trained using a generative adversarial network;
- receive a noisy data sample from a noisy sensor, wherein the denoising model is trained for a sensor similar to the noisy sensor;
- denoise, using the denoising model, the noisy data sample to generate a denoised data sample;
- and
- present to a user, or send for further processing, the denoised data sample;
- wherein the further processing comprises at least one of image recognition, object recognition, natural language processing, voice recognition, or speech-to-text detection.
6 more elements
Dependencies are inferred from the claim text.