Disclosed herein is a method for data augmentation, which includes pretraining latent variables using first data corresponding to target speech and second data corresponding to general speech, training data augmentation parameters by receiving the first data and the second data as input, and augmenting target data using the first data and the second data through the pretrained latent variables and the trained parameters.