Language and Speech technologies are rapidly evolving thanks to the current advances in Artificial Intelligence. Applications such as Machine Translation or Speech Recognition can be tackled from a neural perspective with novel Architectures that combine Convolutional (CNN) and/or Recurrent (RNN) models with Attention mechanisms. This course overviews the state of the art on Deep Learning for Speech and Language ad introduces the programming skills and techniques required to train these systems.

The course webpage can be found: [2018], [2017]

DLSL Lectures (2018)