Sixing Liu

DCTTS: Discrete Diffusion Model with Contrastive Learning for Text-to-Speech Generation

In the Text-to-speech(TTS) task, the latent diffusion model has excellent fidelity and generalization, but its expensive resource consumption and slow inference speed have always been a challenging. To address this issue, this paper proposes the Discrete Diffusion Model with Contrastive Learning for…