Method for processing multi-channel audio signal on basis of neural network and electronic device

An electronic device comprising:

• a memory configured to store a noise removal neural network model and data utilized in the noise removal neural network model;
• and
• a processor configured to be electrically connected to the memory,
• wherein the memory stores instructions that, when executed, enable the processor to:
• output a first channel signal using a first beamformer for a multi-channel voice signal;
• output a second channel signal using a second beamformer;
• generate a third channel signal in which a difference in noise levels between the first channel signal and the second channel signal is compensated;
• and
• train the noise removal neural network model by using the third channel signal in which the difference in noise levels is compensated and the first channel signal as input values.

An electronic device comprising:

• a communication circuit;
• a memory configured to store a noise removal neural network model and data utilized in the noise removal neural network model;
• and
• a processor configured to be electrically connected to the memory,
• wherein the memory stores instructions that, when executed, enable the processor to:
• receive a first channel user voice signal and a second channel user voice signal from an external electronic device through the communication circuit;
• generate a third channel user voice signal in which a difference in noise levels between the first channel user voice signal and the second channel user voice signal is compensated;
• and
• train the noise removal neural network model using the third channel user voice signal in which the difference in noise levels is compensated and the first channel user voice signal as input values to optimize the noise removal neural network model for user voice.