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Unsupervised Learning of Disentangled and Interpretable Representations
  from Sequential Data

Unsupervised Learning of Disentangled and Interpretable Representations from Sequential Data

22 September 2017
Wei-Ning Hsu
Yu Zhang
James R. Glass
    BDL
    SSL
ArXivPDFHTML

Papers citing "Unsupervised Learning of Disentangled and Interpretable Representations from Sequential Data"

50 / 60 papers shown
Title
Bird Vocalization Embedding Extraction Using Self-Supervised Disentangled Representation Learning
Bird Vocalization Embedding Extraction Using Self-Supervised Disentangled Representation Learning
Runwu Shi
Katsutoshi Itoyama
K. Nakadai
SSL
DRL
44
1
0
31 Dec 2024
Unsupervised Representation Learning from Sparse Transformation Analysis
Unsupervised Representation Learning from Sparse Transformation Analysis
Yue Song
Thomas Anderson Keller
Yisong Yue
Pietro Perona
Max Welling
DRL
36
0
0
07 Oct 2024
Cross-Utterance Conditioned VAE for Speech Generation
Cross-Utterance Conditioned VAE for Speech Generation
Yongqian Li
Cheng Yu
Guangzhi Sun
Weiqin Zu
Zheng Tian
...
Wei Pan
Chao Zhang
Jun Wang
Yang Yang
Fanglei Sun
21
2
0
08 Sep 2023
Multifactor Sequential Disentanglement via Structured Koopman
  Autoencoders
Multifactor Sequential Disentanglement via Structured Koopman Autoencoders
Nimrod Berman
Ilana D Naiman
Omri Azencot
CoGe
27
22
0
30 Mar 2023
Learning Interpretable Low-dimensional Representation via Physical
  Symmetry
Learning Interpretable Low-dimensional Representation via Physical Symmetry
Xuanjie Liu
Daniel Y. Chin
Yichen Huang
Gus Xia
26
3
0
05 Feb 2023
A Two-Stage Deep Representation Learning-Based Speech Enhancement Method
  Using Variational Autoencoder and Adversarial Training
A Two-Stage Deep Representation Learning-Based Speech Enhancement Method Using Variational Autoencoder and Adversarial Training
Yang Xiang
Jesper Lisby Højvang
M. Rasmussen
M. G. Christensen
DRL
23
5
0
16 Nov 2022
Learning Invariant Representation and Risk Minimized for Unsupervised
  Accent Domain Adaptation
Learning Invariant Representation and Risk Minimized for Unsupervised Accent Domain Adaptation
Chendong Zhao
Jianzong Wang
Xiaoyang Qu
Haoqian Wang
Jing Xiao
SSL
38
1
0
15 Oct 2022
AudioGen: Textually Guided Audio Generation
AudioGen: Textually Guided Audio Generation
Felix Kreuk
Gabriel Synnaeve
Adam Polyak
Uriel Singer
Alexandre Défossez
Jade Copet
Devi Parikh
Yaniv Taigman
Yossi Adi
DiffM
27
289
0
30 Sep 2022
Non-Contrastive Self-supervised Learning for Utterance-Level Information
  Extraction from Speech
Non-Contrastive Self-supervised Learning for Utterance-Level Information Extraction from Speech
Jaejin Cho
Jesús Villalba
Laureano Moro Velázquez
Najim Dehak
SSL
39
18
0
10 Aug 2022
Learning Subject-Invariant Representations from Speech-Evoked EEG Using
  Variational Autoencoders
Learning Subject-Invariant Representations from Speech-Evoked EEG Using Variational Autoencoders
Lies Bollens
T. Francart
Hugo Van hamme
DRL
BDL
19
14
0
01 Jul 2022
Self-Supervised Speech Representation Learning: A Review
Self-Supervised Speech Representation Learning: A Review
Abdel-rahman Mohamed
Hung-yi Lee
Lasse Borgholt
Jakob Drachmann Havtorn
Joakim Edin
...
Shang-Wen Li
Karen Livescu
Lars Maaløe
Tara N. Sainath
Shinji Watanabe
SSL
AI4TS
137
350
0
21 May 2022
Unsupervised Mismatch Localization in Cross-Modal Sequential Data with
  Application to Mispronunciations Localization
Unsupervised Mismatch Localization in Cross-Modal Sequential Data with Application to Mispronunciations Localization
Wei Wei
Hengguan Huang
Xiangming Gu
Hao Wang
Ye Wang
BDL
22
0
0
05 May 2022
Improved far-field speech recognition using Joint Variational
  Autoencoder
Improved far-field speech recognition using Joint Variational Autoencoder
Shashi Kumar
S. Rath
Abhishek Pandey
DRL
15
0
0
24 Apr 2022
A Brief Overview of Unsupervised Neural Speech Representation Learning
A Brief Overview of Unsupervised Neural Speech Representation Learning
Lasse Borgholt
Jakob Drachmann Havtorn
Joakim Edin
Lars Maaløe
Christian Igel
BDL
AI4TS
SSL
19
11
0
01 Mar 2022
Benchmarking Generative Latent Variable Models for Speech
Benchmarking Generative Latent Variable Models for Speech
Jakob Drachmann Havtorn
Lasse Borgholt
Søren Hauberg
J. Frellsen
Lars Maaløe
26
3
0
22 Feb 2022
Noise-robust voice conversion with domain adversarial training
Noise-robust voice conversion with domain adversarial training
Hongqiang Du
Lei Xie
Haizhou Li
19
11
0
26 Jan 2022
Hamiltonian latent operators for content and motion disentanglement in
  image sequences
Hamiltonian latent operators for content and motion disentanglement in image sequences
Asif Khan
Amos Storkey
29
2
0
02 Dec 2021
Textless Speech Emotion Conversion using Discrete and Decomposed
  Representations
Textless Speech Emotion Conversion using Discrete and Decomposed Representations
Felix Kreuk
Adam Polyak
Jade Copet
Eugene Kharitonov
Tu Nguyen
M. Rivière
Wei-Ning Hsu
Abdel-rahman Mohamed
Emmanuel Dupoux
Yossi Adi
25
29
0
14 Nov 2021
WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech
  Processing
WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processing
Sanyuan Chen
Chengyi Wang
Zhengyang Chen
Yu-Huan Wu
Shujie Liu
...
Yao Qian
Jian Wu
Micheal Zeng
Xiangzhan Yu
Furu Wei
SSL
118
1,715
0
26 Oct 2021
Contrastively Disentangled Sequential Variational Autoencoder
Contrastively Disentangled Sequential Variational Autoencoder
M. Kiener
Weiran Wang
Michael Gerndt
CoGe
DRL
27
40
0
22 Oct 2021
A Benchmark of Dynamical Variational Autoencoders applied to Speech
  Spectrogram Modeling
A Benchmark of Dynamical Variational Autoencoders applied to Speech Spectrogram Modeling
Xiaoyu Bie
Laurent Girin
Simon Leglaive
Thomas Hueber
Xavier Alameda-Pineda
23
12
0
11 Jun 2021
Learning Robust Latent Representations for Controllable Speech Synthesis
Learning Robust Latent Representations for Controllable Speech Synthesis
Shakti Kumar
Jithin Pradeep
Hussain Zaidi
DRL
33
6
0
10 May 2021
Robust wav2vec 2.0: Analyzing Domain Shift in Self-Supervised
  Pre-Training
Robust wav2vec 2.0: Analyzing Domain Shift in Self-Supervised Pre-Training
Wei-Ning Hsu
Anuroop Sriram
Alexei Baevski
Tatiana Likhomanenko
Qiantong Xu
...
Jacob Kahn
Ann Lee
R. Collobert
Gabriel Synnaeve
Michael Auli
SSL
25
236
0
02 Apr 2021
Interpretability and Explainability: A Machine Learning Zoo Mini-tour
Interpretability and Explainability: A Machine Learning Zoo Mini-tour
Ricards Marcinkevics
Julia E. Vogt
XAI
28
119
0
03 Dec 2020
Mutual Information Based Method for Unsupervised Disentanglement of
  Video Representation
Mutual Information Based Method for Unsupervised Disentanglement of Video Representation
Aditya Sreekar
Ujjwal Tiwari
A. Namboodiri
DRL
26
4
0
17 Nov 2020
Unsupervised Learning of Disentangled Speech Content and Style
  Representation
Unsupervised Learning of Disentangled Speech Content and Style Representation
Andros Tjandra
Ruoming Pang
Yu Zhang
Shigeki Karita
BDL
DRL
23
15
0
24 Oct 2020
THIN: THrowable Information Networks and Application for Facial
  Expression Recognition In The Wild
THIN: THrowable Information Networks and Application for Facial Expression Recognition In The Wild
Estèphe Arnaud
Arnaud Dapogny
Kévin Bailly
CVBM
29
23
0
15 Oct 2020
Dynamic Future Net: Diversified Human Motion Generation
Dynamic Future Net: Diversified Human Motion Generation
Wenheng Chen
He Wang
Yi Yuan
Tianjia Shao
Kun Zhou
3DH
35
22
0
25 Aug 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
41
317
0
09 Aug 2020
Privacy-preserving Voice Analysis via Disentangled Representations
Privacy-preserving Voice Analysis via Disentangled Representations
Ranya Aloufi
Hamed Haddadi
David E. Boyle
DRL
19
58
0
29 Jul 2020
PCAAE: Principal Component Analysis Autoencoder for organising the
  latent space of generative networks
PCAAE: Principal Component Analysis Autoencoder for organising the latent space of generative networks
Chi-Hieu Pham
Saïd Ladjal
A. Newson
DRL
24
31
0
14 Jun 2020
Contrastive Predictive Coding Supported Factorized Variational
  Autoencoder for Unsupervised Learning of Disentangled Speech Representations
Contrastive Predictive Coding Supported Factorized Variational Autoencoder for Unsupervised Learning of Disentangled Speech Representations
Janek Ebbers
Michael Kuhlmann
Tobias Cord-Landwehr
Reinhold Haeb-Umbach
DRL
CoGe
SSL
31
4
0
26 May 2020
S3VAE: Self-Supervised Sequential VAE for Representation Disentanglement
  and Data Generation
S3VAE: Self-Supervised Sequential VAE for Representation Disentanglement and Data Generation
Yizhe Zhu
Martin Renqiang Min
Asim Kadav
H. Graf
CoGe
DRL
27
95
0
23 May 2020
CausalVAE: Structured Causal Disentanglement in Variational Autoencoder
CausalVAE: Structured Causal Disentanglement in Variational Autoencoder
Girish A. Koushik
Furui Liu
Zhitang Chen
Xinwei Shen
Jianye Hao
Jun Wang
OOD
CoGe
CML
41
44
0
18 Apr 2020
Variational inference formulation for a model-free simulation of a
  dynamical system with unknown parameters by a recurrent neural network
Variational inference formulation for a model-free simulation of a dynamical system with unknown parameters by a recurrent neural network
K. Yeo
D. E. C. Grullon
Fan-Keng Sun
Duane S. Boning
Jayant Kalagnanam
BDL
23
3
0
02 Mar 2020
Weakly-Supervised Disentanglement Without Compromises
Weakly-Supervised Disentanglement Without Compromises
Francesco Locatello
Ben Poole
Gunnar Rätsch
Bernhard Schölkopf
Olivier Bachem
Michael Tschannen
CoGe
OOD
DRL
184
313
0
07 Feb 2020
Fully-hierarchical fine-grained prosody modeling for interpretable
  speech synthesis
Fully-hierarchical fine-grained prosody modeling for interpretable speech synthesis
Guangzhi Sun
Yu Zhang
Ron J. Weiss
Yuanbin Cao
Heiga Zen
Yonghui Wu
11
130
0
06 Feb 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
32
81
0
02 Jan 2020
Enhancing VAEs for Collaborative Filtering: Flexible Priors & Gating
  Mechanisms
Enhancing VAEs for Collaborative Filtering: Flexible Priors & Gating Mechanisms
Daeryong Kim
B. Suh
24
50
0
03 Nov 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
29
173
0
23 Oct 2019
Independent Subspace Analysis for Unsupervised Learning of Disentangled
  Representations
Independent Subspace Analysis for Unsupervised Learning of Disentangled Representations
Jan Stühmer
Richard Turner
Sebastian Nowozin
DRL
BDL
CoGe
117
25
0
05 Sep 2019
Learning Disentangled Representations of Timbre and Pitch for Musical
  Instrument Sounds Using Gaussian Mixture Variational Autoencoders
Learning Disentangled Representations of Timbre and Pitch for Musical Instrument Sounds Using Gaussian Mixture Variational Autoencoders
Yin-Jyun Luo
Kat R. Agres
Dorien Herremans
16
46
0
19 Jun 2019
Disentangling Factors of Variation Using Few Labels
Disentangling Factors of Variation Using Few Labels
Francesco Locatello
Michael Tschannen
Stefan Bauer
Gunnar Rätsch
Bernhard Schölkopf
Olivier Bachem
DRL
CML
CoGe
29
123
0
03 May 2019
A Multi-Task Approach for Disentangling Syntax and Semantics in Sentence
  Representations
A Multi-Task Approach for Disentangling Syntax and Semantics in Sentence Representations
Mingda Chen
Qingming Tang
Sam Wiseman
Kevin Gimpel
DRL
23
76
0
02 Apr 2019
Multi-modal Probabilistic Prediction of Interactive Behavior via an
  Interpretable Model
Multi-modal Probabilistic Prediction of Interactive Behavior via an Interpretable Model
Yeping Hu
Wei Zhan
Liting Sun
Masayoshi Tomizuka
27
45
0
22 Mar 2019
Unsupervised Discovery of Parts, Structure, and Dynamics
Unsupervised Discovery of Parts, Structure, and Dynamics
Zhenjia Xu
Zhijian Liu
Chen Sun
Kevin Patrick Murphy
William T. Freeman
J. Tenenbaum
Jiajun Wu
OCL
35
61
0
12 Mar 2019
Domain Mismatch Robust Acoustic Scene Classification using Channel
  Information Conversion
Domain Mismatch Robust Acoustic Scene Classification using Channel Information Conversion
Seongkyu Mun
Suwon Shon
16
21
0
04 Dec 2018
Unsupervised learning with contrastive latent variable models
Unsupervised learning with contrastive latent variable models
Kristen A. Severson
S. Ghosh
Kenney Ng
SSL
DRL
21
38
0
14 Nov 2018
Interpreting Models by Allowing to Ask
Interpreting Models by Allowing to Ask
Sungmin Kang
D. Park
Jaehyuk Chang
Jaegul Choo
13
0
0
13 Nov 2018
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