ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1609.03499
  4. Cited By
WaveNet: A Generative Model for Raw Audio
v1v2 (latest)

WaveNet: A Generative Model for Raw Audio

12 September 2016
Aaron van den Oord
Sander Dieleman
Heiga Zen
Karen Simonyan
Oriol Vinyals
Alex Graves
Nal Kalchbrenner
A. Senior
Koray Kavukcuoglu
    DiffM
ArXiv (abs)PDFHTML

Papers citing "WaveNet: A Generative Model for Raw Audio"

32 / 3,082 papers shown
Title
Sequence-to-point learning with neural networks for nonintrusive load
  monitoring
Sequence-to-point learning with neural networks for nonintrusive load monitoring
Chaoyun Zhang
Mingjun Zhong
Zong-Hui Wang
Nigel H. Goddard
Charles Sutton
95
505
0
29 Dec 2016
SampleRNN: An Unconditional End-to-End Neural Audio Generation Model
SampleRNN: An Unconditional End-to-End Neural Audio Generation Model
Soroush Mehri
Kundan Kumar
Ishaan Gulrajani
Rithesh Kumar
Shubham Jain
Jose M. R. Sotelo
Aaron Courville
Yoshua Bengio
119
599
0
22 Dec 2016
Music Generation with Deep Learning
Music Generation with Deep Learning
Vasanth Kalingeri
Srikanth Grandhe
MGen
55
24
0
15 Dec 2016
Predicting Process Behaviour using Deep Learning
Predicting Process Behaviour using Deep Learning
Joerg Evermann
Jana-Rebecca Rehse
Peter Fettke
90
361
0
14 Dec 2016
Disentangling Space and Time in Video with Hierarchical Variational
  Auto-encoders
Disentangling Space and Time in Video with Hierarchical Variational Auto-encoders
Will Grathwohl
Aaron Wilson
DRL
100
21
0
14 Dec 2016
Prediction with a Short Memory
Prediction with a Short Memory
Vatsal Sharan
Sham Kakade
Percy Liang
Gregory Valiant
AI4TS
86
28
0
08 Dec 2016
Improving the Performance of Neural Networks in Regression Tasks Using
  Drawering
Improving the Performance of Neural Networks in Regression Tasks Using Drawering
Konrad Zolna
27
2
0
05 Dec 2016
Learning Features of Music from Scratch
Learning Features of Music from Scratch
John Thickstun
Zaïd Harchaoui
Sham Kakade
194
203
0
29 Nov 2016
Fast Wavenet Generation Algorithm
Fast Wavenet Generation Algorithm
T. Paine
Pooya Khorrami
Shiyu Chang
Yang Zhang
Prajit Ramachandran
Mark Hasegawa-Johnson
Thomas S. Huang
108
79
0
29 Nov 2016
Dense Prediction on Sequences with Time-Dilated Convolutions for Speech
  Recognition
Dense Prediction on Sequences with Time-Dilated Convolutions for Speech Recognition
Tom Sercu
Vaibhava Goel
VLM
118
55
0
28 Nov 2016
Geometric deep learning: going beyond Euclidean data
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
853
3,312
0
24 Nov 2016
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Zhuowen Tu
Kaiming He
536
10,380
0
16 Nov 2016
Temporal Convolutional Networks for Action Segmentation and Detection
Temporal Convolutional Networks for Action Segmentation and Detection
Colin S. Lea
Michael D. Flynn
René Vidal
A. Reiter
Gregory Hager
119
1,504
0
16 Nov 2016
A Connection between Generative Adversarial Networks, Inverse
  Reinforcement Learning, and Energy-Based Models
A Connection between Generative Adversarial Networks, Inverse Reinforcement Learning, and Energy-Based Models
Chelsea Finn
Paul Christiano
Pieter Abbeel
Sergey Levine
OffRLAI4CEGAN
99
356
0
11 Nov 2016
Sequence Tutor: Conservative Fine-Tuning of Sequence Generation Models
  with KL-control
Sequence Tutor: Conservative Fine-Tuning of Sequence Generation Models with KL-control
Natasha Jaques
S. Gu
Dzmitry Bahdanau
José Miguel Hernández-Lobato
Richard Turner
Douglas Eck
184
173
0
09 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
217
676
0
08 Nov 2016
Learning to Act by Predicting the Future
Learning to Act by Predicting the Future
Alexey Dosovitskiy
V. Koltun
187
281
0
06 Nov 2016
Recurrent Neural Radio Anomaly Detection
Recurrent Neural Radio Anomaly Detection
Tim O'Shea
T. Clancy
R. McGwier
72
77
0
01 Nov 2016
Neural Machine Translation in Linear Time
Neural Machine Translation in Linear Time
Nal Kalchbrenner
L. Espeholt
Karen Simonyan
Aaron van den Oord
Alex Graves
Koray Kavukcuoglu
AIMat
124
554
0
31 Oct 2016
A Learned Representation For Artistic Style
A Learned Representation For Artistic Style
Vincent Dumoulin
Jonathon Shlens
M. Kudlur
GAN
329
1,167
0
24 Oct 2016
Automatic chemical design using a data-driven continuous representation
  of molecules
Automatic chemical design using a data-driven continuous representation of molecules
Rafael Gómez-Bombarelli
Jennifer N. Wei
David Duvenaud
José Miguel Hernández-Lobato
Benjamín Sánchez-Lengeling
Dennis Sheberla
J. Aguilera-Iparraguirre
Timothy D. Hirzel
Ryan P. Adams
Alán Aspuru-Guzik
3DV
266
2,959
0
07 Oct 2016
End-to-End Radio Traffic Sequence Recognition with Deep Recurrent Neural
  Networks
End-to-End Radio Traffic Sequence Recognition with Deep Recurrent Neural Networks
Tim O'Shea
Seth D. Hitefield
Johnathan Corgan
AI4TS
56
42
0
03 Oct 2016
Video Pixel Networks
Video Pixel Networks
Nal Kalchbrenner
Aaron van den Oord
Karen Simonyan
Ivo Danihelka
Oriol Vinyals
Alex Graves
Koray Kavukcuoglu
122
426
0
03 Oct 2016
Live Orchestral Piano, a system for real-time orchestral music
  generation
Live Orchestral Piano, a system for real-time orchestral music generation
Léopold Crestel
P. Esling
43
24
0
05 Sep 2016
Median-Based Generation of Synthetic Speech Durations using a
  Non-Parametric Approach
Median-Based Generation of Synthetic Speech Durations using a Non-Parametric Approach
S. Ronanki
O. Watts
Simon King
G. Henter
48
17
0
22 Aug 2016
Generative Knowledge Transfer for Neural Language Models
Generative Knowledge Transfer for Neural Language Models
Sungho Shin
Kyuyeon Hwang
Wonyong Sung
53
12
0
14 Aug 2016
Cognitive Science in the era of Artificial Intelligence: A roadmap for
  reverse-engineering the infant language-learner
Cognitive Science in the era of Artificial Intelligence: A roadmap for reverse-engineering the infant language-learner
Emmanuel Dupoux
111
158
0
29 Jul 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
162
1,828
0
15 Jun 2016
Adversarially Learned Inference
Adversarially Learned Inference
Vincent Dumoulin
Ishmael Belghazi
Ben Poole
Olivier Mastropietro
Alex Lamb
Martín Arjovsky
Aaron Courville
GAN
105
1,316
0
02 Jun 2016
Learning Local Descriptors by Optimizing the Keypoint-Correspondence
  Criterion: Applications to Face Matching, Learning from Unlabeled Videos and
  3D-Shape Retrieval
Learning Local Descriptors by Optimizing the Keypoint-Correspondence Criterion: Applications to Face Matching, Learning from Unlabeled Videos and 3D-Shape Retrieval
Nenad Markuš
Igor S. Pandzic
Jörgen Ahlberg
3DV
49
4
0
30 Mar 2016
A guide to convolution arithmetic for deep learning
A guide to convolution arithmetic for deep learning
Vincent Dumoulin
Francesco Visin
FAtt3DHHAI
76
1,548
0
23 Mar 2016
Recent Advances in Convolutional Neural Networks
Recent Advances in Convolutional Neural Networks
Jiuxiang Gu
Zhenhua Wang
Jason Kuen
Lianyang Ma
Amir Shahroudy
...
Xingxing Wang
Li Wang
Gang Wang
Jianfei Cai
Tsuhan Chen
278
5,268
0
22 Dec 2015
Previous
123...606162