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NU-Wave: A Diffusion Probabilistic Model for Neural Audio Upsampling

NU-Wave: A Diffusion Probabilistic Model for Neural Audio Upsampling

6 April 2021
Junhyeok Lee
Seungu Han
    DiffM
ArXivPDFHTML

Papers citing "NU-Wave: A Diffusion Probabilistic Model for Neural Audio Upsampling"

10 / 10 papers shown
Title
FLOWER: Flow-Based Estimated Gaussian Guidance for General Speech Restoration
FLOWER: Flow-Based Estimated Gaussian Guidance for General Speech Restoration
Da-Hee Yang
Jaeuk Lee
Joon-Hyuk Chang
VLM
AI4CE
24
0
0
03 May 2025
FlashSR: One-step Versatile Audio Super-resolution via Diffusion Distillation
FlashSR: One-step Versatile Audio Super-resolution via Diffusion Distillation
Jaekwon Im
Juhan Nam
DiffM
43
0
0
18 Jan 2025
AIGC for Industrial Time Series: From Deep Generative Models to Large Generative Models
AIGC for Industrial Time Series: From Deep Generative Models to Large Generative Models
Lei Ren
Haiteng Wang
Yang Tang
Yang Tang
Chunhua Yang
AI4TS
AI4CE
47
5
0
16 Jul 2024
Combined Generative and Predictive Modeling for Speech Super-resolution
Combined Generative and Predictive Modeling for Speech Super-resolution
Heming Wang
Eric W. Healy
DeLiang Wang
DiffM
25
0
0
25 Jan 2024
mdctGAN: Taming transformer-based GAN for speech super-resolution with
  Modified DCT spectra
mdctGAN: Taming transformer-based GAN for speech super-resolution with Modified DCT spectra
Chenhao Shuai
Chaohua Shi
Lu Gan
Hongqing Liu
19
8
0
18 May 2023
Conditioning and Sampling in Variational Diffusion Models for Speech
  Super-Resolution
Conditioning and Sampling in Variational Diffusion Models for Speech Super-Resolution
Chin-Yun Yu
Sung-Lin Yeh
Gyorgy Fazekas
Hao Tang
DiffM
30
19
0
27 Oct 2022
Flow Straight and Fast: Learning to Generate and Transfer Data with
  Rectified Flow
Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow
Xingchao Liu
Chengyue Gong
Qiang Liu
OOD
33
842
0
07 Sep 2022
NU-Wave 2: A General Neural Audio Upsampling Model for Various Sampling
  Rates
NU-Wave 2: A General Neural Audio Upsampling Model for Various Sampling Rates
Seungu Han
Junhyeok Lee
DiffM
20
41
0
17 Jun 2022
PriorGrad: Improving Conditional Denoising Diffusion Models with
  Data-Dependent Adaptive Prior
PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Dependent Adaptive Prior
Sang-gil Lee
Heeseung Kim
Chaehun Shin
Xu Tan
Chang-Shu Liu
Qi Meng
Tao Qin
Wei Chen
Sung-Hoon Yoon
Tie-Yan Liu
DiffM
18
81
0
11 Jun 2021
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of
  Generative Models
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models
Sachit Menon
Alexandru Damian
Shijia Hu
Nikhil Ravi
Cynthia Rudin
OOD
DiffM
192
540
0
08 Mar 2020
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