2017
Voice-transformation-based data augmentation for prosodic classification
ICASSP 2017accepted
In this work we explore data-augmentation techniques for the task of improving the performance of a supervised recurrent-neural-network classifier tasked with predicting prosodic-boundary and pitch-accent labels. The technique is based on applying voice transformations to the training data that modi…