Acoustic Data Augmentation
Introduction
Large-scale deep learning systems require an abundance of labeled training datasets to achieve good and robust performance, but it may not always be feasible. Data augmentation has been proposed as an effective technique to increase both the amount and diversity of data by randomly augmenting it.