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. 1901.08810
  4. Cited By
Unsupervised speech representation learning using WaveNet autoencoders

Unsupervised speech representation learning using WaveNet autoencoders

25 January 2019
J. Chorowski
Ron J. Weiss
Samy Bengio
Aaron van den Oord
    SSL
ArXivPDFHTML

Papers citing "Unsupervised speech representation learning using WaveNet autoencoders"

31 / 81 papers shown
Title
Any-to-One Sequence-to-Sequence Voice Conversion using Self-Supervised
  Discrete Speech Representations
Any-to-One Sequence-to-Sequence Voice Conversion using Self-Supervised Discrete Speech Representations
Wen-Chin Huang
Yi-Chiao Wu
Tomoki Hayashi
Tomoki Toda
BDL
57
37
0
23 Oct 2020
Representation Learning for Sequence Data with Deep Autoencoding
  Predictive Components
Representation Learning for Sequence Data with Deep Autoencoding Predictive Components
Junwen Bai
Weiran Wang
Yingbo Zhou
Caiming Xiong
SSL
AI4TS
27
12
0
07 Oct 2020
Identity-Based Patterns in Deep Convolutional Networks: Generative
  Adversarial Phonology and Reduplication
Identity-Based Patterns in Deep Convolutional Networks: Generative Adversarial Phonology and Reduplication
Gašper Beguš
GAN
SSL
13
15
0
13 Sep 2020
An Overview of Voice Conversion and its Challenges: From Statistical
  Modeling to Deep Learning
An Overview of Voice Conversion and its Challenges: From Statistical Modeling to Deep Learning
Berrak Sisman
Junichi Yamagishi
Simon King
Haizhou Li
BDL
48
318
0
09 Aug 2020
Pretraining Techniques for Sequence-to-Sequence Voice Conversion
Pretraining Techniques for Sequence-to-Sequence Voice Conversion
Wen-Chin Huang
Tomoki Hayashi
Yi-Chiao Wu
Hirokazu Kameoka
Tomoki Toda
27
38
0
07 Aug 2020
Incorporating Reinforced Adversarial Learning in Autoregressive Image
  Generation
Incorporating Reinforced Adversarial Learning in Autoregressive Image Generation
Kenan E. Ak
N. Xu
Zhe Lin
Yilin Wang
24
12
0
20 Jul 2020
Vector-Quantized Timbre Representation
Vector-Quantized Timbre Representation
Adrien Bitton
P. Esling
Tatsuya Harada
22
12
0
13 Jul 2020
TERA: Self-Supervised Learning of Transformer Encoder Representation for
  Speech
TERA: Self-Supervised Learning of Transformer Encoder Representation for Speech
Andy T. Liu
Shang-Wen Li
Hung-yi Lee
SSL
64
356
0
12 Jul 2020
Data Augmenting Contrastive Learning of Speech Representations in the
  Time Domain
Data Augmenting Contrastive Learning of Speech Representations in the Time Domain
Eugene Kharitonov
M. Rivière
Gabriel Synnaeve
Lior Wolf
Pierre-Emmanuel Mazaré
Matthijs Douze
Emmanuel Dupoux
31
117
0
02 Jul 2020
VQVC+: One-Shot Voice Conversion by Vector Quantization and U-Net
  architecture
VQVC+: One-Shot Voice Conversion by Vector Quantization and U-Net architecture
Da-Yi Wu
Yen-Hao Chen
Hung-yi Lee
16
99
0
07 Jun 2020
CSTNet: Contrastive Speech Translation Network for Self-Supervised
  Speech Representation Learning
CSTNet: Contrastive Speech Translation Network for Self-Supervised Speech Representation Learning
Sameer Khurana
Antoine Laurent
James R. Glass
SSL
19
12
0
04 Jun 2020
High-Fidelity Audio Generation and Representation Learning with Guided
  Adversarial Autoencoder
High-Fidelity Audio Generation and Representation Learning with Guided Adversarial Autoencoder
Kazi Nazmul Haque
R. Rana
Björn W Schuller
DRL
31
12
0
01 Jun 2020
Vector-quantized neural networks for acoustic unit discovery in the
  ZeroSpeech 2020 challenge
Vector-quantized neural networks for acoustic unit discovery in the ZeroSpeech 2020 challenge
Benjamin van Niekerk
Leanne Nortje
Herman Kamper
33
115
0
19 May 2020
Unconditional Audio Generation with Generative Adversarial Networks and
  Cycle Regularization
Unconditional Audio Generation with Generative Adversarial Networks and Cycle Regularization
Jen-Yu Liu
Yu-Hua Chen
Yin-Cheng Yeh
Yi-Hsuan Yang
GAN
34
35
0
18 May 2020
Robust Training of Vector Quantized Bottleneck Models
Robust Training of Vector Quantized Bottleneck Models
A. Lancucki
J. Chorowski
Guillaume Sanchez
R. Marxer
Nanxin Chen
Hans J. G. A. Dolfing
Sameer Khurana
Tanel Alumäe
Antoine Laurent
29
58
0
18 May 2020
Vector-Quantized Autoregressive Predictive Coding
Vector-Quantized Autoregressive Predictive Coding
Yu-An Chung
Hao Tang
James R. Glass
SSL
19
114
0
17 May 2020
DiscreTalk: Text-to-Speech as a Machine Translation Problem
DiscreTalk: Text-to-Speech as a Machine Translation Problem
Tomoki Hayashi
Shinji Watanabe
27
32
0
12 May 2020
Does Visual Self-Supervision Improve Learning of Speech Representations
  for Emotion Recognition?
Does Visual Self-Supervision Improve Learning of Speech Representations for Emotion Recognition?
Abhinav Shukla
Stavros Petridis
Maja Pantic
SSL
35
28
0
04 May 2020
Multi-task self-supervised learning for Robust Speech Recognition
Multi-task self-supervised learning for Robust Speech Recognition
Mirco Ravanelli
Jianyuan Zhong
Santiago Pascual
P. Swietojanski
João Monteiro
J. Trmal
Yoshua Bengio
SSL
189
288
0
25 Jan 2020
Unsupervised Representation Disentanglement using Cross Domain Features
  and Adversarial Learning in Variational Autoencoder based Voice Conversion
Unsupervised Representation Disentanglement using Cross Domain Features and Adversarial Learning in Variational Autoencoder based Voice Conversion
Wen-Chin Huang
Hao Luo
Hsin-Te Hwang
Chen-Chou Lo
Yu-Huai Peng
Yu Tsao
Hsin-Min Wang
DRL
17
42
0
22 Jan 2020
Deep Representation Learning in Speech Processing: Challenges, Recent
  Advances, and Future Trends
Deep Representation Learning in Speech Processing: Challenges, Recent Advances, and Future Trends
S. Latif
R. Rana
Sara Khalifa
Raja Jurdak
Junaid Qadir
Björn W. Schuller
AI4TS
37
81
0
02 Jan 2020
Towards Unsupervised Speech Recognition and Synthesis with Quantized
  Speech Representation Learning
Towards Unsupervised Speech Recognition and Synthesis with Quantized Speech Representation Learning
Alexander H. Liu
Tao Tu
Hung-yi Lee
Lin-Shan Lee
SSL
37
50
0
28 Oct 2019
Mockingjay: Unsupervised Speech Representation Learning with Deep
  Bidirectional Transformer Encoders
Mockingjay: Unsupervised Speech Representation Learning with Deep Bidirectional Transformer Encoders
Andy T. Liu
Shu-Wen Yang
Po-Han Chi
Po-Chun Hsu
Hung-yi Lee
SSL
47
372
0
25 Oct 2019
Generative Pre-Training for Speech with Autoregressive Predictive Coding
Generative Pre-Training for Speech with Autoregressive Predictive Coding
Yu-An Chung
James R. Glass
SSL
31
173
0
23 Oct 2019
On Completeness-aware Concept-Based Explanations in Deep Neural Networks
On Completeness-aware Concept-Based Explanations in Deep Neural Networks
Chih-Kuan Yeh
Been Kim
Sercan O. Arik
Chun-Liang Li
Tomas Pfister
Pradeep Ravikumar
FAtt
122
297
0
17 Oct 2019
vq-wav2vec: Self-Supervised Learning of Discrete Speech Representations
vq-wav2vec: Self-Supervised Learning of Discrete Speech Representations
Alexei Baevski
Steffen Schneider
Michael Auli
SSL
28
661
0
12 Oct 2019
Deep Learning for Deepfakes Creation and Detection: A Survey
Deep Learning for Deepfakes Creation and Detection: A Survey
Thanh Thi Nguyen
Quoc Viet Hung Nguyen
Dung Nguyen
D. Nguyen
Thien Huynh-The
S. Nahavandi
Thanh Tam Nguyen
Viet Quoc Pham
Cu Nguyen
31
433
0
25 Sep 2019
Combining Adversarial Training and Disentangled Speech Representation
  for Robust Zero-Resource Subword Modeling
Combining Adversarial Training and Disentangled Speech Representation for Robust Zero-Resource Subword Modeling
Siyuan Feng
Tan Lee
Zhiyuan Peng
13
21
0
17 Jun 2019
Investigation of F0 conditioning and Fully Convolutional Networks in
  Variational Autoencoder based Voice Conversion
Investigation of F0 conditioning and Fully Convolutional Networks in Variational Autoencoder based Voice Conversion
Wen-Chin Huang
Yi-Chiao Wu
Chen-Chou Lo
Patrick Lumban Tobing
Tomoki Hayashi
Kazuhiro Kobayashi
Tomoki Toda
Yu Tsao
H. Wang
DRL
27
13
0
02 May 2019
Incorporating Symbolic Sequential Modeling for Speech Enhancement
Incorporating Symbolic Sequential Modeling for Speech Enhancement
Chien-Feng Liao
Yu Tsao
Xugang Lu
Hisashi Kawai
27
18
0
30 Apr 2019
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
Zhehuai Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
718
6,750
0
26 Sep 2016
Previous
12