Cross-speaker Emotion Transfer Based on Speaker Condition Layer Normalization and Semi-Supervised Training in Text-To-Speech

Understand

In expressive speech synthesis, there are high requirements for emotion interpretation.

• However, it is time-consuming to acquire emotional audio corpus for arbitrary speakers due to their deduction ability.
• In response to this problem, this paper proposes a cross-speaker emotion transfer method that can realize the transfer of emotions from source speaker to target speaker.
• A set of emotion tokens is firstly defined to represent various categories of emotions.