BDDM: Bilateral Denoising Diffusion Models for Fast and High-Quality Speech Synthesis

25 March 2022

Papers citing "BDDM: Bilateral Denoising Diffusion Models for Fast and High-Quality Speech Synthesis"

37 / 37 papers shown

Title
Dual Audio-Centric Modality Coupling for Talking Head Generation Ao Fu Ziqi Ni Yi Zhou 102 1 0 26 Mar 2025
Temporal Feature Matters: A Framework for Diffusion Model Quantization Yushi Huang Ruihao Gong Xianglong Liu Jing Liu Yuhang Li Jiwen Lu Dacheng Tao DiffM MQ 63 0 0 28 Jul 2024
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 194 30,069 0 01 Mar 2022
Variational Diffusion Models Diederik P. Kingma Tim Salimans Ben Poole Jonathan Ho DiffM 145 1,089 0 01 Jul 2021
Learning to Efficiently Sample from Diffusion Probabilistic Models Daniel Watson Jonathan Ho Mohammad Norouzi William Chan DiffM 66 135 0 07 Jun 2021
On Fast Sampling of Diffusion Probabilistic Models Zhifeng Kong Ming-Yu Liu DiffM 66 195 0 31 May 2021
Diffusion Models Beat GANs on Image Synthesis Prafulla Dhariwal Alex Nichol 150 7,639 0 11 May 2021
Noise Estimation for Generative Diffusion Models Robin San-Roman Eliya Nachmani Lior Wolf DiffM 69 105 0 06 Apr 2021
Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models Sam Bond-Taylor Adam Leach Yang Long Chris G. Willcocks VLM TPM 83 493 0 08 Mar 2021
Improved Denoising Diffusion Probabilistic Models Alex Nichol Prafulla Dhariwal DiffM 242 3,621 0 18 Feb 2021
Effective Low-Cost Time-Domain Audio Separation Using Globally Attentive Locally Recurrent Networks Max W. Y. Lam Jun Wang Dan Su Dong Yu 72 29 0 13 Jan 2021
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 277 6,293 0 26 Nov 2020
HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis Jungil Kong Jaehyeon Kim Jaekyoung Bae 141 1,918 0 12 Oct 2020
Denoising Diffusion Implicit Models Jiaming Song Chenlin Meng Stefano Ermon VLM DiffM 154 7,166 0 06 Oct 2020
DiffWave: A Versatile Diffusion Model for Audio Synthesis Zhifeng Kong Ming-Yu Liu Jiaji Huang Kexin Zhao Bryan Catanzaro DiffM BDL 95 1,429 0 21 Sep 2020
WaveGrad: Estimating Gradients for Waveform Generation Nanxin Chen Yu Zhang Heiga Zen Ron J. Weiss Mohammad Norouzi William Chan DiffM BDL 55 787 0 02 Sep 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 375 17,550 0 19 Jun 2020
Improved Techniques for Training Score-Based Generative Models Yang Song Stefano Ermon DiffM 173 1,135 0 16 Jun 2020
Multi-band MelGAN: Faster Waveform Generation for High-Quality Text-to-Speech Geng Yang Shan Yang Kai-Chun Liu Peng Fang Wei Chen Lei Xie 104 199 0 11 May 2020
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 254 10,591 0 17 Feb 2020
Normalizing Flows for Probabilistic Modeling and Inference George Papamakarios Eric T. Nalisnick Danilo Jimenez Rezende S. Mohamed Balaji Lakshminarayanan TPM AI4CE 157 1,662 0 05 Dec 2019
Parallel WaveGAN: A fast waveform generation model based on generative adversarial networks with multi-resolution spectrogram Ryuichi Yamamoto Eunwoo Song Jae-Min Kim 44 817 0 25 Oct 2019
MelGAN: Generative Adversarial Networks for Conditional Waveform Synthesis Kundan Kumar Rithesh Kumar T. Boissière L. Gestin Wei Zhen Teoh Jose M. R. Sotelo A. D. Brébisson Yoshua Bengio Aaron Courville GAN 109 945 0 08 Oct 2019
High Fidelity Speech Synthesis with Adversarial Networks Mikolaj Binkowski Jeff Donahue Sander Dieleman Aidan Clark Erich Elsen Norman Casagrande Luis C. Cobo Karen Simonyan 267 240 0 25 Sep 2019
Generative Modeling by Estimating Gradients of the Data Distribution Yang Song Stefano Ermon SyDa DiffM 191 3,803 0 12 Jul 2019
Sliced Score Matching: A Scalable Approach to Density and Score Estimation Yang Song Sahaj Garg Jiaxin Shi Stefano Ermon 78 409 0 17 May 2019
BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling Lars Maaløe Marco Fraccaro Valentin Liévin Ole Winther BDL DRL 42 213 0 06 Feb 2019
Flow++: Improving Flow-Based Generative Models with Variational Dequantization and Architecture Design Jonathan Ho Xi Chen A. Srinivas Yan Duan Pieter Abbeel DRL 58 446 0 01 Feb 2019
WaveGlow: A Flow-based Generative Network for Speech Synthesis R. Prenger Rafael Valle Bryan Catanzaro 140 1,024 0 31 Oct 2018
Glow: Generative Flow with Invertible 1x1 Convolutions Diederik P. Kingma Prafulla Dhariwal BDL DRL 233 3,110 0 09 Jul 2018
Neural Ordinary Differential Equations T. Chen Yulia Rubanova J. Bettencourt David Duvenaud AI4CE 276 5,024 0 19 Jun 2018
Efficient Neural Audio Synthesis Nal Kalchbrenner Erich Elsen Karen Simonyan Seb Noury Norman Casagrande Edward Lockhart Florian Stimberg Aaron van den Oord Sander Dieleman Koray Kavukcuoglu 84 866 0 23 Feb 2018
Parallel WaveNet: Fast High-Fidelity Speech Synthesis Aaron van den Oord Yazhe Li Igor Babuschkin Karen Simonyan Oriol Vinyals ... Alex Graves Helen King T. Walters Dan Belov Demis Hassabis 168 858 0 28 Nov 2017
WaveNet: A Generative Model for Raw Audio Aaron van den Oord Sander Dieleman Heiga Zen Karen Simonyan Oriol Vinyals Alex Graves Nal Kalchbrenner A. Senior Koray Kavukcuoglu DiffM 329 7,361 0 12 Sep 2016
Faster Eigenvector Computation via Shift-and-Invert Preconditioning Dan Garber Laurent Dinh Chi Jin Jascha Narain Sohl-Dickstein Samy Bengio Praneeth Netrapalli Aaron Sidford 214 3,681 0 26 May 2016
Deep Unsupervised Learning using Nonequilibrium Thermodynamics Jascha Narain Sohl-Dickstein Eric A. Weiss Niru Maheswaranathan Surya Ganguli SyDa DiffM 217 6,780 0 12 Mar 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.1K 99,991 0 04 Sep 2014