TELEX

This FWO-funded project aims at combining bottom-up phonetic recognition and long span example based recognition into a single speech recognition architecture that beats mainstream state-of-the-art HMM systems in terms of accuracy, be it at a higher computational cost. The project runs in collaboration with KULeuven.

Partners: 

ESAT-PSI (KULeuven)