vits2_pytorch
Explore VITS2, an innovative single-stage text-to-speech model that enhances naturalness and efficiency through advanced adversarial learning and architecture design. This implementation reduces phoneme conversion dependency, supports multi-speaker synthesis, and facilitates end-to-end training. Ideal for researchers and developers looking for efficient and modern TTS solutions with transfer learning capabilities.
