TTS-CGAN: A Transformer Time-Series Conditional GAN for Biosignal Data Augmentation. (arXiv:2206.13676v1 [cs.LG])

Signal measurement appearing in the form of time series is one of the most
common types of data used in medical machine learning applications. Such
datasets are often small in size, expensive to collect and annotate, and might
involve privacy issues, which hinders our ability to train large,
state-of-the-art deep learning models for biomedical applications. For
time-series data, the suite of data augmentation strategies we can use to
expand the size of the dataset is limited by the need to …

arxiv augmentation data gan lg series time transformer tts