Method and apparatus for processing audio signal

A processing method comprising:

• acquiring a final audio signal for an initial audio signal using a plurality of neural network models generating output audio signals by encoding and decoding input audio signals;
• acquiring a masking threshold and a power spectral density for the initial audio signal through a psychoacoustic model;
• determining a weight based on a relationship between the masking threshold and the power spectral density for each frequency;
• calculating a difference between a power spectral density of the initial audio signal and a power spectral density of the final audio signal for each frequency based on the determined weight;
• training the neural network models based on a result of the calculating;
• and
• generating a new final audio signal distinguished from the final audio signal from the initial audio signal using the trained neural network models.

A processing method comprising:

• acquiring a final audio signal for an initial audio signal using a plurality of neural network models generating output audio signals by encoding and decoding input audio signals;
• acquiring a masking threshold for the initial audio signal through a psychoacoustic model;
• identifying noise generated in an encoding and decoding process of the initial audio signal from the final audio signal;
• calculating a difference between noise included in the final audio signal and the masking threshold for each frequency;
• training the neural network models based on a result of the calculating;
• and
• generating a new final audio signal distinguished from the final audio signal from the initial audio signal using the trained neural network models.