Accented Text-to-Speech Synthesis with a Conditional Variational Autoencoder

Understand

Accent plays a significant role in speech communication, influencing one's capability to understand as well as conveying a person's identity.

• This paper introduces a novel and efficient framework for accented Text-to-Speech (TTS) synthesis based on a Conditional Variational Autoencoder.
• It has the ability to synthesize a selected speaker's voice, and convert this to any desired target accent.
• Our thorough experiments validate the effectiveness of the proposed framework using both objective and subjective evaluations.