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DiffAR: Denoising Diffusion Autoregressive Model for Raw Speech Waveform
  Generation

DiffAR: Denoising Diffusion Autoregressive Model for Raw Speech Waveform Generation

2 October 2023
Roi Benita
Michael Elad
Joseph Keshet
    DiffM
ArXivPDFHTML

Papers citing "DiffAR: Denoising Diffusion Autoregressive Model for Raw Speech Waveform Generation"

3 / 3 papers shown
Title
RestoreGrad: Signal Restoration Using Conditional Denoising Diffusion Models with Jointly Learned Prior
RestoreGrad: Signal Restoration Using Conditional Denoising Diffusion Models with Jointly Learned Prior
Ching Hua Lee
Chouchang Yang
Jaejin Cho
Yashas Malur Saidutta
R. S. Srinivasa
Yilin Shen
Hongxia Jin
DiffM
80
0
0
19 Feb 2025
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
YourTTS: Towards Zero-Shot Multi-Speaker TTS and Zero-Shot Voice
  Conversion for everyone
YourTTS: Towards Zero-Shot Multi-Speaker TTS and Zero-Shot Voice Conversion for everyone
Edresson Casanova
Julian Weber
C. Shulby
Arnaldo Cândido Júnior
Eren Golge
M. Ponti
171
377
0
04 Dec 2021
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