Raul Fernandez           

Raul Fernandez is a Research Staff member at IBM Research AI, at the TJ Watson Reseach Center, where he has been doing research in the area of speech synthesis since joining in 2004.

Raul's research focuses on improving the prosodic expressiveness of synthesis systems, with applications of deep-learning and dynamic models. He's been actively involved in the development of TTS systems that have achieved leading positions in international evaluations, and was also the technical lead for the text-to-speech component of Watson, the Deep-Question-Answering system developed at IBM to play Jeopardy.

Raul is a member of the IEEE Spoken Language Technical Committee, and an active reviewer for journals and conferences in the areas of speech synthesis and recognition, speech analysis, and computational prosody.