most citedLooks Too Good To Be True: An Information-Theoretic Analysis of Hallucinations in Generative Restoration Models

2 citations · 2 across the 5 of their papers we have counts for

collaborators
Showing cs.SDShow all

1 paper · 1 filter

cs.SD2024

On the Semantic Latent Space of Diffusion-Based Text-to-Speech Models

Miri Varshavsky-Hassid, Roy Hirsch, Regev Cohen +3

The incorporation of Denoising Diffusion Models (DDMs) in the Text-to-Speech (TTS) domain is rising, providing great value in synthesizing high quality speech. Although they exhibi…