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A Robust Speaker Clustering Method Based on Discrete Tied Variational
  Autoencoder

A Robust Speaker Clustering Method Based on Discrete Tied Variational Autoencoder

IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020
4 March 2020
Chen Feng
Jianzong Wang
Tongxu Li
Junqing Peng
Jing Xiao
    DRL
ArXiv (abs)PDFHTML

Papers citing "A Robust Speaker Clustering Method Based on Discrete Tied Variational Autoencoder"

6 / 6 papers shown
Deep Spectral Clustering using Dual Autoencoder Network
Deep Spectral Clustering using Dual Autoencoder NetworkComputer Vision and Pattern Recognition (CVPR), 2019
Xu Yang
Cheng Deng
Feng Zheng
Junchi Yan
Wen Liu
302
282
0
30 Apr 2019
VAE-based regularization for deep speaker embedding
VAE-based regularization for deep speaker embedding
Yang Zhang
Lantian Li
Dong Wang
DRLBDL
137
21
0
07 Apr 2019
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks
Reluplex: An Efficient SMT Solver for Verifying Deep Neural NetworksInternational Conference on Computer Aided Verification (CAV), 2017
Guy Katz
Clark W. Barrett
D. Dill
Kyle D. Julian
Mykel Kochenderfer
AAML
1.0K
2,076
0
03 Feb 2017
Variational Deep Embedding: An Unsupervised and Generative Approach to
  Clustering
Variational Deep Embedding: An Unsupervised and Generative Approach to Clustering
Zhuxi Jiang
Yin Zheng
Huachun Tan
Bangsheng Tang
Hanning Zhou
BDLDRL
511
833
0
16 Nov 2016
Deep Unsupervised Clustering with Gaussian Mixture Variational
  Autoencoders
Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders
Nat Dilokthanakul
P. Mediano
M. Garnelo
M. J. Lee
Hugh Salimbeni
Kai Arulkumaran
Murray Shanahan
DRL
478
711
0
08 Nov 2016
Auto-Encoding Variational Bayes
Auto-Encoding Variational BayesInternational Conference on Learning Representations (ICLR), 2013
Diederik P. Kingma
Max Welling
BDL
1.7K
17,040
0
20 Dec 2013
1
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