Converting Anyone's Emotion: Towards Speaker-Independent Emotional Voice Conversion

Understand

Emotional voice conversion aims to convert the emotion of speech from one state to another while preserving the linguistic content and speaker identity.

• The prior studies on emotional voice conversion are mostly carried out under the assumption that emotion is speaker-dependent.
• We consider that there is a common code between speakers for emotional expression in a spoken language, therefore, a speaker-independent mapping between emotional states is possible.
• In this paper, we propose a speaker-independent emotional voice conversion framework, that can convert anyone's emotion without the need for parallel data.