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Parallel WaveNet: Fast High-Fidelity Speech Synthesis

Parallel WaveNet: Fast High-Fidelity Speech Synthesis

28 November 2017
Aaron van den Oord
Yazhe Li
Igor Babuschkin
Karen Simonyan
Oriol Vinyals
Koray Kavukcuoglu
George van den Driessche
Edward Lockhart
Luis C. Cobo
Florian Stimberg
Norman Casagrande
Dominik Grewe
Seb Noury
Sander Dieleman
Erich Elsen
Nal Kalchbrenner
Heiga Zen
Alex Graves
Helen King
T. Walters
Dan Belov
Demis Hassabis
ArXiv (abs)PDFHTML

Papers citing "Parallel WaveNet: Fast High-Fidelity Speech Synthesis"

27 / 27 papers shown
Title
Accelerate TarFlow Sampling with GS-Jacobi Iteration
Accelerate TarFlow Sampling with GS-Jacobi Iteration
Ben Liu
Zhen Qin
78
0
0
19 May 2025
Deep generative models for musical audio synthesis
Deep generative models for musical audio synthesis
M. Huzaifah
L. Wyse
185
20
0
10 Jun 2020
Vision-Infused Deep Audio Inpainting
Vision-Infused Deep Audio Inpainting
Hang Zhou
Ziwei Liu
Lingfeng Guo
Ping Luo
Dahua Lin
142
88
0
24 Oct 2019
Non-Autoregressive Neural Machine Translation
Non-Autoregressive Neural Machine Translation
Jiatao Gu
James Bradbury
Caiming Xiong
Victor O.K. Li
R. Socher
107
798
0
07 Nov 2017
Masked Autoregressive Flow for Density Estimation
Masked Autoregressive Flow for Density Estimation
George Papamakarios
Theo Pavlakou
Iain Murray
217
1,360
0
19 May 2017
PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture
  Likelihood and Other Modifications
PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture Likelihood and Other Modifications
Tim Salimans
A. Karpathy
Xi Chen
Diederik P. Kingma
113
944
0
19 Jan 2017
Fast Wavenet Generation Algorithm
Fast Wavenet Generation Algorithm
T. Paine
Pooya Khorrami
Shiyu Chang
Yang Zhang
Prajit Ramachandran
Mark Hasegawa-Johnson
Thomas S. Huang
79
79
0
29 Nov 2016
Variational Lossy Autoencoder
Variational Lossy Autoencoder
Xi Chen
Diederik P. Kingma
Tim Salimans
Yan Duan
Prafulla Dhariwal
John Schulman
Ilya Sutskever
Pieter Abbeel
DRLSSLGAN
161
676
0
08 Nov 2016
Amortised MAP Inference for Image Super-resolution
Amortised MAP Inference for Image Super-resolution
C. Sønderby
Jose Caballero
Lucas Theis
Wenzhe Shi
Ferenc Huszár
99
435
0
14 Oct 2016
Video Pixel Networks
Video Pixel Networks
Nal Kalchbrenner
Aaron van den Oord
Karen Simonyan
Ivo Danihelka
Oriol Vinyals
Alex Graves
Koray Kavukcuoglu
85
426
0
03 Oct 2016
Google's Neural Machine Translation System: Bridging the Gap between
  Human and Machine Translation
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu
M. Schuster
Zhiwen Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
914
6,797
0
26 Sep 2016
WaveNet: A Generative Model for Raw Audio
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
406
7,421
0
12 Sep 2016
Conditional Image Generation with PixelCNN Decoders
Conditional Image Generation with PixelCNN Decoders
Aaron van den Oord
Nal Kalchbrenner
Oriol Vinyals
L. Espeholt
Alex Graves
Koray Kavukcuoglu
VLM
214
2,519
0
16 Jun 2016
Improving Variational Inference with Inverse Autoregressive Flow
Improving Variational Inference with Inverse Autoregressive Flow
Diederik P. Kingma
Tim Salimans
Rafal Jozefowicz
Xi Chen
Ilya Sutskever
Max Welling
BDLDRL
150
1,825
0
15 Jun 2016
Faster Eigenvector Computation via Shift-and-Invert Preconditioning
Faster Eigenvector Computation via Shift-and-Invert Preconditioning
Dan Garber
Laurent Dinh
Chi Jin
Jascha Narain Sohl-Dickstein
Samy Bengio
Praneeth Netrapalli
Aaron Sidford
277
3,722
0
26 May 2016
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
Justin Johnson
Alexandre Alahi
Li Fei-Fei
SupR
259
10,267
0
27 Mar 2016
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed
  Systems
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
Martín Abadi
Ashish Agarwal
P. Barham
E. Brevdo
Zhiwen Chen
...
Pete Warden
Martin Wattenberg
Martin Wicke
Yuan Yu
Xiaoqiang Zheng
289
11,150
0
14 Mar 2016
Pixel Recurrent Neural Networks
Pixel Recurrent Neural Networks
Aaron van den Oord
Nal Kalchbrenner
Koray Kavukcuoglu
SSegGAN
486
2,579
0
25 Jan 2016
A Neural Algorithm of Artistic Style
A Neural Algorithm of Artistic Style
Leon A. Gatys
Alexander S. Ecker
Matthias Bethge
GAN
90
2,864
0
26 Aug 2015
Generative Image Modeling Using Spatial LSTMs
Generative Image Modeling Using Spatial LSTMs
Lucas Theis
Matthias Bethge
GANVLM
70
200
0
10 Jun 2015
Variational Inference with Normalizing Flows
Variational Inference with Normalizing Flows
Danilo Jimenez Rezende
S. Mohamed
DRLBDL
322
4,197
0
21 May 2015
Distilling the Knowledge in a Neural Network
Distilling the Knowledge in a Neural Network
Geoffrey E. Hinton
Oriol Vinyals
J. Dean
FedML
367
19,745
0
09 Mar 2015
MADE: Masked Autoencoder for Distribution Estimation
MADE: Masked Autoencoder for Distribution Estimation
M. Germain
Karol Gregor
Iain Murray
Hugo Larochelle
OODSyDaUQCV
179
874
0
12 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.1K
150,364
0
22 Dec 2014
NICE: Non-linear Independent Components Estimation
NICE: Non-linear Independent Components Estimation
Laurent Dinh
David M. Krueger
Yoshua Bengio
DRLBDL
131
2,269
0
30 Oct 2014
Going Deeper with Convolutions
Going Deeper with Convolutions
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
494
43,698
0
17 Sep 2014
Generating Sequences With Recurrent Neural Networks
Generating Sequences With Recurrent Neural Networks
Alex Graves
GAN
169
4,039
0
04 Aug 2013
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