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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"

50 / 3,082 papers shown
Title
Filtering Variational Objectives
Filtering Variational Objectives
Chris J. Maddison
Dieterich Lawson
George Tucker
N. Heess
Mohammad Norouzi
A. Mnih
Arnaud Doucet
Yee Whye Teh
FedML
262
210
0
25 May 2017
Deep Voice 2: Multi-Speaker Neural Text-to-Speech
Deep Voice 2: Multi-Speaker Neural Text-to-Speech
Sercan O. Arik
G. Diamos
Andrew Gibiansky
John Miller
Kainan Peng
Ming-Yu Liu
Jonathan Raiman
Yanqi Zhou
115
496
0
24 May 2017
Look, Listen and Learn
Look, Listen and Learn
Relja Arandjelović
Andrew Zisserman
SSL
151
909
0
23 May 2017
TricorNet: A Hybrid Temporal Convolutional and Recurrent Network for
  Video Action Segmentation
TricorNet: A Hybrid Temporal Convolutional and Recurrent Network for Video Action Segmentation
Li Ding
Chenliang Xu
98
51
0
22 May 2017
AIXIjs: A Software Demo for General Reinforcement Learning
AIXIjs: A Software Demo for General Reinforcement Learning
John Aslanides
47
6
0
22 May 2017
Multi-Stage Variational Auto-Encoders for Coarse-to-Fine Image
  Generation
Multi-Stage Variational Auto-Encoders for Coarse-to-Fine Image Generation
Lei Cai
Hongyang Gao
Shuiwang Ji
96
69
0
19 May 2017
The Kernel Mixture Network: A Nonparametric Method for Conditional
  Density Estimation of Continuous Random Variables
The Kernel Mixture Network: A Nonparametric Method for Conditional Density Estimation of Continuous Random Variables
L. Ambrogioni
Umut Güçlü
Marcel van Gerven
E. Maris
BDL
200
47
0
19 May 2017
Matching neural paths: transfer from recognition to correspondence
  search
Matching neural paths: transfer from recognition to correspondence search
Nikolay Savinov
Lubor Ladicky
Marc Pollefeys
66
10
0
19 May 2017
Masked Autoregressive Flow for Density Estimation
Masked Autoregressive Flow for Density Estimation
George Papamakarios
Theo Pavlakou
Iain Murray
238
1,361
0
19 May 2017
An overview and comparative analysis of Recurrent Neural Networks for
  Short Term Load Forecasting
An overview and comparative analysis of Recurrent Neural Networks for Short Term Load Forecasting
F. Bianchi
E. Maiorino
Michael C. Kampffmeyer
A. Rizzi
Robert Jenssen
AI4TS
109
218
0
11 May 2017
Multi Resolution LSTM For Long Term Prediction In Neural Activity Video
Multi Resolution LSTM For Long Term Prediction In Neural Activity Video
Yilin Song
J. Viventi
Yao Wang
23
1
0
08 May 2017
Analysis and Design of Convolutional Networks via Hierarchical Tensor
  Decompositions
Analysis and Design of Convolutional Networks via Hierarchical Tensor Decompositions
Nadav Cohen
Or Sharir
Yoav Levine
Ronen Tamari
David Yakira
Amnon Shashua
130
38
0
05 May 2017
GRASS: Generative Recursive Autoencoders for Shape Structures
GRASS: Generative Recursive Autoencoders for Shape Structures
Jun Li
Kai Xu
S. Chaudhuri
Ersin Yumer
Hao Zhang
Leonidas Guibas
3DV
123
184
0
05 May 2017
Dependency Parsing with Dilated Iterated Graph CNNs
Dependency Parsing with Dilated Iterated Graph CNNs
Emma Strubell
Andrew McCallum
GNN
47
6
0
01 May 2017
Fast Generation for Convolutional Autoregressive Models
Fast Generation for Convolutional Autoregressive Models
Prajit Ramachandran
T. Paine
Pooya Khorrami
Mohammad Babaeizadeh
Shiyu Chang
Yang Zhang
Mark Hasegawa-Johnson
R. Campbell
Thomas S. Huang
BDL
82
68
0
20 Apr 2017
Learning Latent Representations for Speech Generation and Transformation
Learning Latent Representations for Speech Generation and Transformation
Wei-Ning Hsu
Yu Zhang
James R. Glass
DRLBDLSSL
65
145
0
13 Apr 2017
DeepAR: Probabilistic Forecasting with Autoregressive Recurrent Networks
DeepAR: Probabilistic Forecasting with Autoregressive Recurrent Networks
David Salinas
Valentin Flunkert
Jan Gasthaus
AI4TSUQCVBDL
110
2,156
0
13 Apr 2017
A Neural Parametric Singing Synthesizer
A Neural Parametric Singing Synthesizer
Merlijn Blaauw
J. Bonada
69
98
0
12 Apr 2017
Sampling-based speech parameter generation using moment-matching
  networks
Sampling-based speech parameter generation using moment-matching networks
Shinnosuke Takamichi
Tomoki Koriyama
Hiroshi Saruwatari
49
13
0
12 Apr 2017
Neural Audio Synthesis of Musical Notes with WaveNet Autoencoders
Neural Audio Synthesis of Musical Notes with WaveNet Autoencoders
Jesse Engel
Cinjon Resnick
Adam Roberts
Sander Dieleman
Douglas Eck
Karen Simonyan
Mohammad Norouzi
132
631
0
05 Apr 2017
MidiNet: A Convolutional Generative Adversarial Network for
  Symbolic-domain Music Generation
MidiNet: A Convolutional Generative Adversarial Network for Symbolic-domain Music Generation
Li-Chia Yang
Szu-Yu Chou
Yi-Hsuan Yang
GANMGen
198
465
0
31 Mar 2017
Tacotron: Towards End-to-End Speech Synthesis
Tacotron: Towards End-to-End Speech Synthesis
Yuxuan Wang
RJ Skerry-Ryan
Daisy Stanton
Yonghui Wu
Ron J. Weiss
...
Samy Bengio
Quoc V. Le
Yannis Agiomyrgiannakis
R. Clark
Rif A. Saurous
173
1,833
0
29 Mar 2017
SEGAN: Speech Enhancement Generative Adversarial Network
SEGAN: Speech Enhancement Generative Adversarial Network
Santiago Pascual
Antonio Bonafonte
Joan Serrà
GAN
102
1,149
0
28 Mar 2017
Efficient Processing of Deep Neural Networks: A Tutorial and Survey
Efficient Processing of Deep Neural Networks: A Tutorial and Survey
Vivienne Sze
Yu-hsin Chen
Tien-Ju Yang
J. Emer
AAML3DV
120
3,038
0
27 Mar 2017
Failures of Gradient-Based Deep Learning
Failures of Gradient-Based Deep Learning
Shai Shalev-Shwartz
Ohad Shamir
Shaked Shammah
ODLUQCV
129
201
0
23 Mar 2017
Conditional Time Series Forecasting with Convolutional Neural Networks
Conditional Time Series Forecasting with Convolutional Neural Networks
Anastasia Borovykh
S. Bohté
C. Oosterlee
AI4TS
127
480
0
14 Mar 2017
Deep Value Networks Learn to Evaluate and Iteratively Refine Structured
  Outputs
Deep Value Networks Learn to Evaluate and Iteratively Refine Structured Outputs
Michael Gygli
Mohammad Norouzi
A. Angelova
TDI
147
68
0
13 Mar 2017
Autoregressive Convolutional Neural Networks for Asynchronous Time
  Series
Autoregressive Convolutional Neural Networks for Asynchronous Time Series
Mikolaj Binkowski
Gautier Marti
Philippe Donnat
AI4TSBDL
136
152
0
12 Mar 2017
Prediction and Control with Temporal Segment Models
Prediction and Control with Temporal Segment Models
Nikhil Mishra
Pieter Abbeel
Igor Mordatch
BDL
92
64
0
12 Mar 2017
Parallel Multiscale Autoregressive Density Estimation
Parallel Multiscale Autoregressive Density Estimation
Scott E. Reed
Aaron van den Oord
Nal Kalchbrenner
Sergio Gomez Colmenarejo
Ziyun Wang
Dan Belov
Nando de Freitas
BDL
111
207
0
10 Mar 2017
End-to-end semantic face segmentation with conditional random fields as
  convolutional, recurrent and adversarial networks
End-to-end semantic face segmentation with conditional random fields as convolutional, recurrent and adversarial networks
Umut Güçlü
Yağmur Güçlütürk
Meysam Madadi
Sergio Escalera
Xavier Baro
Jordi Gonzalez
R. Lier
Marcel van Gerven
CVBMGANSSeg
68
19
0
09 Mar 2017
Raw Waveform-based Speech Enhancement by Fully Convolutional Networks
Raw Waveform-based Speech Enhancement by Fully Convolutional Networks
Szu-Wei Fu
Yu Tsao
Xugang Lu
Hisashi Kawai
78
197
0
07 Mar 2017
English Conversational Telephone Speech Recognition by Humans and
  Machines
English Conversational Telephone Speech Recognition by Humans and Machines
G. Saon
Gakuto Kurata
Tom Sercu
Kartik Audhkhasi
Samuel Thomas
...
Bhuvana Ramabhadran
M. Picheny
L. Lim
Bergul Roomi
Phil Hall
75
366
0
06 Mar 2017
Sample-level Deep Convolutional Neural Networks for Music Auto-tagging
  Using Raw Waveforms
Sample-level Deep Convolutional Neural Networks for Music Auto-tagging Using Raw Waveforms
Jongpil Lee
Jiyoung Park
Keunhyoung Luke Kim
Juhan Nam
86
190
0
06 Mar 2017
Neural Machine Translation and Sequence-to-sequence Models: A Tutorial
Neural Machine Translation and Sequence-to-sequence Models: A Tutorial
Graham Neubig
AIMat
104
173
0
05 Mar 2017
Understanding Convolution for Semantic Segmentation
Understanding Convolution for Semantic Segmentation
Panqu Wang
Pengfei Chen
Ye Yuan
Ding Liu
Zehua Huang
Xiaodi Hou
G. Cottrell
SSeg
112
1,697
0
27 Feb 2017
Improved Variational Autoencoders for Text Modeling using Dilated
  Convolutions
Improved Variational Autoencoders for Text Modeling using Dilated Convolutions
Zichao Yang
Zhiting Hu
Ruslan Salakhutdinov
Taylor Berg-Kirkpatrick
129
389
0
27 Feb 2017
Deep Voice: Real-time Neural Text-to-Speech
Deep Voice: Real-time Neural Text-to-Speech
Sercan O. Arik
Mike Chrzanowski
Adam Coates
G. Diamos
Andrew Gibiansky
...
John Miller
Andrew Ng
Jonathan Raiman
Shubho Sengupta
Mohammad Shoeybi
105
617
0
25 Feb 2017
Convolutional Gated Recurrent Neural Network Incorporating Spatial
  Features for Audio Tagging
Convolutional Gated Recurrent Neural Network Incorporating Spatial Features for Audio Tagging
Yong-mei Xu
Qiuqiang Kong
Qiang Huang
Wenwu Wang
Mark D. Plumbley
82
102
0
24 Feb 2017
Deep Models Under the GAN: Information Leakage from Collaborative Deep
  Learning
Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning
Briland Hitaj
G. Ateniese
Fernando Perez-Cruz
FedML
157
1,416
0
24 Feb 2017
Deep Nonparametric Estimation of Discrete Conditional Distributions via
  Smoothed Dyadic Partitioning
Deep Nonparametric Estimation of Discrete Conditional Distributions via Smoothed Dyadic Partitioning
Wesley Tansey
Karl Pichotta
James G. Scott
24
0
0
23 Feb 2017
Adversarial examples for generative models
Adversarial examples for generative models
Jernej Kos
Ian S. Fischer
Basel Alomair
GAN
95
274
0
22 Feb 2017
Convolution Aware Initialization
Convolution Aware Initialization
Armen Aghajanyan
68
9
0
21 Feb 2017
On Loss Functions for Deep Neural Networks in Classification
On Loss Functions for Deep Neural Networks in Classification
Katarzyna Janocha
Wojciech M. Czarnecki
UQCV
80
553
0
18 Feb 2017
Estimating Nonlinear Dynamics with the ConvNet Smoother
Estimating Nonlinear Dynamics with the ConvNet Smoother
L. Ambrogioni
Umut Güçlü
E. Maris
Marcel van Gerven
66
7
0
17 Feb 2017
Fast and Accurate Entity Recognition with Iterated Dilated Convolutions
Fast and Accurate Entity Recognition with Iterated Dilated Convolutions
Emma Strubell
Pat Verga
David Belanger
Andrew McCallum
138
396
0
07 Feb 2017
Emotion Recognition From Speech With Recurrent Neural Networks
Emotion Recognition From Speech With Recurrent Neural Networks
V. Chernykh
Pavel Prihodko
78
117
0
27 Jan 2017
Deep Network Guided Proof Search
Deep Network Guided Proof Search
Sarah M. Loos
G. Irving
Christian Szegedy
C. Kaliszyk
AIMat
84
159
0
24 Jan 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
148
945
0
19 Jan 2017
NIPS 2016 Tutorial: Generative Adversarial Networks
NIPS 2016 Tutorial: Generative Adversarial Networks
Ian Goodfellow
GAN
194
1,729
0
31 Dec 2016
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