Provided is a training method of a neural network that is applied to an audio signal encoding method using an audio signal encoding apparatus, the training method including generating a masking threshold of a first audio signal before training is performed, calculating a weight matrix to be applied to a frequency component of the first audio signal based on the masking threshold, generating a weighted error function obtained by correcting a preset error function using the weight matrix, and generating a second audio signal by applying a parameter learned using the weighted error function to the first audio signal.
AUDIO SIGNAL ENCODING METHOD AND APPARATUS AND AUDIO SIGNAL DECODING METHOD AND APPARATUS USING PSYCHOACOUSTIC-BASED WEIGHTED ERROR FUNCTION