Uburyo : Delivering of a Sustainable System of Loans for Education : Volume I y II

Integrating a Grants Manager and an Employment Bureau Uburyo, a sustainable mini-loans system, will help academic institutions from developing countries to administrate subventions in order to grow economically and get more and more students

Syllable-based speech recognition using EMG

This paper presents a silent-speech interface based on electromyographic (EMG) signals recorded in the facial muscles. The distinctive feature of this system is that it is based on the recognition of syllables instead of phonemes or words, which is a compromise between both approaches with advantages as (a) clear delimitation and identification inside a word, and (b) reduced set of classification groups. This system transforms the EMG signals into robust-in-time feature vectors and uses them to train a boosting classifier. Experimental results demonstrated the effectiveness of our approach in three subjects, providing a mean classification rate of almost 70% (among 30 syllables)