  In this paper, we present a database of emotional speech intended to be
open-sourced and used for synthesis and generation purpose. It contains data
for male and female actors in English and a male actor in French. The database
covers 5 emotion classes so it could be suitable to build synthesis and voice
transformation systems with the potential to control the emotional dimension in
a continuous way. We show the data's efficiency by building a simple MLP system
converting neutral to angry speech style and evaluate it via a CMOS perception
test. Even though the system is a very simple one, the test show the efficiency
of the data which is promising for future work.
