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

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

19 February 2024
Miri Varshavsky-Hassid
Roy Hirsch
Regev Cohen
Tomer Golany
Daniel Freedman
Ehud Rivlin
ArXivPDFHTML

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

4 / 4 papers shown
Title
Anchored Diffusion for Video Face Reenactment
Anchored Diffusion for Video Face Reenactment
I. Kligvasser
Regev Cohen
G. Leifman
Ehud Rivlin
Michael Elad
DiffM
VGen
34
1
0
21 Jul 2024
Guided-TTS 2: A Diffusion Model for High-quality Adaptive Text-to-Speech
  with Untranscribed Data
Guided-TTS 2: A Diffusion Model for High-quality Adaptive Text-to-Speech with Untranscribed Data
Sungwon Kim
Heeseung Kim
Sung-Hoon Yoon
DiffM
196
52
0
30 May 2022
DiffGAN-TTS: High-Fidelity and Efficient Text-to-Speech with Denoising
  Diffusion GANs
DiffGAN-TTS: High-Fidelity and Efficient Text-to-Speech with Denoising Diffusion GANs
Songxiang Liu
Dan Su
Dong Yu
DiffM
68
65
0
28 Jan 2022
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
229
74,467
0
18 May 2015
1