DiffWave: A Versatile Diffusion Model for Audio Synthesis

21 September 2020

Papers citing "DiffWave: A Versatile Diffusion Model for Audio Synthesis"

27 / 977 papers shown

Title
DiffSVC: A Diffusion Probabilistic Model for Singing Voice Conversion Songxiang Liu Yuewen Cao Dan Su H. Meng DiffM 24 56 0 28 May 2021
Parallel and Flexible Sampling from Autoregressive Models via Langevin Dynamics V. Jayaram John Thickstun DiffM 20 23 0 17 May 2021
ItôTTS and ItôWave: Linear Stochastic Differential Equation Is All You Need For Audio Generation Shoule Wu Ziqiang Shi DiffM 14 11 0 17 May 2021
Grad-TTS: A Diffusion Probabilistic Model for Text-to-Speech Vadim Popov Ivan Vovk Vladimir Gogoryan Tasnima Sadekova Mikhail Kudinov DiffM 12 511 0 13 May 2021
Diffusion Models Beat GANs on Image Synthesis Prafulla Dhariwal Alex Nichol 78 7,410 0 11 May 2021
DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanism Jinglin Liu Chengxi Li Yi Ren Feiyang Chen Zhou Zhao DiffM 44 258 0 06 May 2021
SRDiff: Single Image Super-Resolution with Diffusion Probabilistic Models Haoying Li Yifan Yang Meng Chang H. Feng Zhi-hai Xu Qi Li Yue-ting Chen DiffM 34 615 0 30 Apr 2021
Restoring degraded speech via a modified diffusion model Jianwei Zhang Suren Jayasuriya Visar Berisha DiffM 14 19 0 22 Apr 2021
Review of end-to-end speech synthesis technology based on deep learning Zhaoxi Mu Xinyu Yang Yizhuo Dong AuLLM ALM 13 24 0 20 Apr 2021
On tuning consistent annealed sampling for denoising score matching Joan Serra Santiago Pascual Jordi Pons DiffM 20 6 0 08 Apr 2021
Creativity and Machine Learning: A Survey Giorgio Franceschelli Mirco Musolesi VLM AI4CE 29 40 0 06 Apr 2021
Noise Estimation for Generative Diffusion Models Robin San-Roman Eliya Nachmani Lior Wolf DiffM 25 105 0 06 Apr 2021
NU-Wave: A Diffusion Probabilistic Model for Neural Audio Upsampling Junhyeok Lee Seungu Han DiffM 21 66 0 06 Apr 2021
Diff-TTS: A Denoising Diffusion Model for Text-to-Speech Myeonghun Jeong Hyeongju Kim Sung Jun Cheon Byoung Jin Choi N. Kim DiffM 17 189 0 03 Apr 2021
Symbolic Music Generation with Diffusion Models Gautam Mittal Jesse Engel Curtis Hawthorne Ian Simon MGen DiffM 43 189 0 30 Mar 2021
GAN Vocoder: Multi-Resolution Discriminator Is All You Need J. You Dalhyun Kim Gyuhyeon Nam Geumbyeol Hwang Gyeongsu Chae 13 27 0 09 Mar 2021
Improved Denoising Diffusion Probabilistic Models Alex Nichol Prafulla Dhariwal DiffM 60 3,511 0 18 Feb 2021
Autoregressive Denoising Diffusion Models for Multivariate Probabilistic Time Series Forecasting Kashif Rasul Calvin Seward Ingmar Schuster Roland Vollgraf DiffM 45 302 0 28 Jan 2021
Maximum Likelihood Training of Score-Based Diffusion Models Yang Song Conor Durkan Iain Murray Stefano Ermon DiffM 62 621 0 22 Jan 2021
How to Train Your Energy-Based Models Yang Song Diederik P. Kingma DiffM 12 241 0 09 Jan 2021
Learning Energy-Based Models by Diffusion Recovery Likelihood Ruiqi Gao Yang Song Ben Poole Ying Nian Wu Diederik P. Kingma DiffM 6 124 0 15 Dec 2020
Score-Based Generative Modeling through Stochastic Differential Equations Yang Song Jascha Narain Sohl-Dickstein Diederik P. Kingma Abhishek Kumar Stefano Ermon Ben Poole DiffM SyDa 8 6,045 0 26 Nov 2020
Diffusion models for Handwriting Generation Troy Luhman Eric Luhman DiffM 11 25 0 13 Nov 2020
WaveGrad: Estimating Gradients for Waveform Generation Nanxin Chen Yu Zhang Heiga Zen Ron J. Weiss Mohammad Norouzi William Chan DiffM BDL 14 769 0 02 Sep 2020
DDSP: Differentiable Digital Signal Processing Jesse Engel Lamtharn Hantrakul Chenjie Gu Adam Roberts DiffM 85 373 0 14 Jan 2020
High Fidelity Speech Synthesis with Adversarial Networks Mikolaj Binkowski Jeff Donahue Sander Dieleman Aidan Clark Erich Elsen Norman Casagrande Luis C. Cobo Karen Simonyan 220 239 0 25 Sep 2019
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Z. Tu Kaiming He 297 10,216 0 16 Nov 2016