Making use of the proposed algorithm, to the best of our knowledge, both the linear and non-linear errors in the multiplier digital-to-analog converter (MDAC) are estimated with lower number of ...

Table of Contents Introducing Machine Learning for Text Chapter 1, "Introducing Machine Learning for Text", presents the main techniques for machine learning for text, the relevant terminology, and ...

We implement the following features in this framework: Data processing for non-autoregressive Text-to-Speech using Montreal Forced Aligner. Convenient and scalable framework for training and inference ...

Aerial-ground interference has been deemed as the main challenge to realize the cellular-connected unmanned aerial vehicle (UAV) communications. Due to the strong line-of-sight (LoS)-dominant ...