Method and device for removing noise using neural network model
AssigneeSamsung Electronics Co., Ltd.
InventorsSoon Ho Baek, Han Gil Moon, Ki Ho Cho, Gang Youl Kim, Jin Soo Park
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Abstract
A portable electronic device includes an audio input device and a processor. The processor is configured to obtain audio input data including a noise signal having an audio feature through the audio input device, to filter the audio input data using a neural network model to generate first audio output data, and to filter the first audio output data without using the neural network model to generate second audio output data. The first audio output data has a first changed audio feature corresponding to the audio feature and the second audio output data has a second changed audio feature corresponding to the audio feature.
Claims8
An electronic device comprising:
- a memory configured to store data corresponding to a neural network model;
- and
- a processor electrically connected to the memory,
- wherein the processor is configured to:
- generate a first input signal including a voice signal and a first noise signal;
- generate a second input signal including the voice signal and a second noise signal different from the first noise signal;
- process the first input signal based at least partly on the neural network model to obtain an output signal;
- update at least part of the neural network model based at least in part on a comparison between the output signal and the second input signal,
- wherein the memory is further configured to store a voice database and a noise database, and
- wherein the processor is further configured to:
- obtain the voice signal using the voice database, and obtain the first noise signal and the second noise signal using the noise database.
Dependencies are inferred from the claim text.