To provide a method for separating words and sounds.SOLUTION: The method includes steps of: performing a first convolution operation to word sound data by using at least one convolution filter; performing down-sampling to the data after the first convolution operation; processing the data after the down-sampling by using an activation function; performing a second convolution operation to the data after being processed by the activation function; recognizing correspondence relation between the data after the second convolution operation and a speaker by using at least one deep neural network model; extracting data corresponding to the speaker on the basis of the correspondence relation; processing the extracted data by using a fully coupled layer; performing an inverse operation of the second convolution operation and an inverse operation of the first convolution operation, respectively to the data after being processed by the fully coupled layer; and generating word sound data corresponding to the speaker.SELECTED DRAWING: Figure 2
WORD SOUND SEPARATION METHOD, WORD SOUND SEPARATION MODEL TRAINING METHOD AND COMPUTER READABLE MEDIUM