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The Emotional Voices Database: Towards Controlling the Emotion Dimension in Voice Generation Systems

25 Jun 2018arXiv:1806.09514archive 2025-07-28

Adaeze Adigwe, Noé Tits, Kevin El Haddad, Sarah Ostadabbas, Thierry Dutoit

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.

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Speech Emotion RecognitionSpeech SynthesisText-To-Speech Synthesis

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