Title
《SpecAugment: A Simple Data Augmentation Methodfor Automatic Speech Recognition》
Abstract
We present SpecAugment, a simple data augmentation method for speech recognition. SpecAugment is applied directly to the feature inputs of a neural network (i.e., fifilter bank coef-fificients). The augmentation policy consists of warping the features, masking blocks of frequency channels, and masking blocks of time steps. We apply SpecAugment on Listen, Attend and Spell networks for end-to-end speech recognition tasks.
