The Emotional Voices Database: Towards Controlling the Emotion Dimension in Voice Generation Systems
Computation and Language
2018-06-26 v1 Artificial Intelligence
Audio and Speech Processing
Abstract
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.
Keywords
Cite
@article{arxiv.1806.09514,
title = {The Emotional Voices Database: Towards Controlling the Emotion Dimension in Voice Generation Systems},
author = {Adaeze Adigwe and Noé Tits and Kevin El Haddad and Sarah Ostadabbas and Thierry Dutoit},
journal= {arXiv preprint arXiv:1806.09514},
year = {2018}
}
Comments
Submitted to SLSP 2018