StarGAN-VC2: Rethinking Conditional Methods for StarGAN-Based Voice Conversion

Understand

Non-parallel multi-domain voice conversion (VC) is a technique for learning mappings among multiple domains without relying on parallel data.

• This is important but challenging owing to the requirement of learning multiple mappings and the non-availability of explicit supervision.
• Recently, StarGAN-VC has garnered attention owing to its ability to solve this problem only using a single generator.
• However, there is still a gap between real and converted speech.