Fetching the paper…
Reading the bibliography…
In this paper, a novel Convolutional Neural Network architecture has been developed for speaker verification in order to simultaneously capture and discard speaker and non-speaker information, respectively.
Y. LeCun, L. Bottou, Y. Bengio, and P. Haffner, “Gradient-based learning applied to document recognition,” Proceedings of the IEEE
1998
Earlier work this paper cites.
D. A. Reynolds, T. F. Quatieri, and R. B. Dunn, “Speaker verification using adapted gaussian mixture models,” Digital signal processing
2000
Earlier work this paper cites.
C. E. Shannon, “A mathematical theory of communication,” ACM SIGMOBILE Mobile Computing and Communications Review
2001
Earlier work this paper cites.
S. Chopra, R. Hadsell, and Y. LeCun, “Learning a similarity metric discriminatively, with application to face verification,” in Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer Society Conference on
2005
Earlier work this paper cites.
W. M. Campbell, D. E. Sturim, and D. A. Reynolds, “Support vector machines using gmm supervectors for speaker verification,” IEEE signal processing letters
2006
Earlier work this paper cites.
P. Kenny, G. Boulianne, P. Ouellet, and P. Dumouchel, “Joint factor analysis versus eigenchannels in speaker recognition,” IEEE Transactions on Audio, Speech, and Language Processing
2007
Earlier work this paper cites.
M. Gurban and J.-P. Thiran, “Information theoretic feature extraction for audio-visual speech recognition,” IEEE Transactions on signal processing
2009
Earlier work this paper cites.
P. Kenny, “Bayesian speaker verification with heavy-tailed priors.,” in Odyssey
2010
Earlier work this paper cites.
N. Dehak, P. J. Kenny, R. Dehak, P. Dumouchel, and P. Ouellet, “Front-end factor analysis for speaker verification,” IEEE Transactions on Audio, Speech, and Language Processing
2011
Earlier work this paper cites.
D. Garcia-Romero and C. Y. Espy-Wilson, “Analysis of i-vector length normalization in speaker recognition systems,” in Twelfth Annual Conference of the International Speech Communication Association
2011
Earlier work this paper cites.
A. Krizhevsky, I. Sutskever, and G. E. Hinton, “Imagenet classification with deep convolutional neural networks,” in Advances in neural information processing systems
2012
Earlier work this paper cites.
G. Hinton, L. Deng, D. Yu, G. E. Dahl, A.-r. Mohamed, N. Jaitly, A. Senior, V. Vanhoucke, P. Nguyen, T. N. Sainath, et al
2012
Cited alongside, same era.
S. Ji, W. Xu, M. Yang, and K. Yu, “3d convolutional neural networks for human action recognition,” IEEE transactions on pattern analysis and machine intelligence
2013
Cited alongside, same era.
T. N. Sainath, A.-r. Mohamed, B. Kingsbury, and B. Ramabhadran, “Deep convolutional neural networks for lvcsr,” in Acoustics, speech and signal processing (ICASSP), 2013 IEEE international conference on
2013
Cited alongside, same era.
2014
Cited alongside, same era.
Y.-h. Chen, I. Lopez-Moreno, T. N. Sainath, M. Visontai, R. Alvarez, and C. Parada, “Locally-connected and convolutional neural networks for small footprint speaker recognition,” in Sixteenth Annual Conference of the International Speech Communication Association
2015
Later among the works it cites.
G. Koch, R. Zemel, and R. Salakhutdinov, “Siamese neural networks for one-shot image recognition,” in ICML Deep Learning Workshop
2015
Later among the works it cites.
Software available from tensorflow.org
M. Abadi, A. Agarwal, P. Barham, E. Brevdo, Z. Chen, C. Citro, G. S. Corrado, A. Davis, J. Dean, M. Devin, S. Ghemawat, I. Goodfellow, A. Harp, G. Irving, M. Isard, Y. Jia, R. Jozefowicz, L. Kaiser, M. Kudlur, J. Levenberg, D. Mané, R. Monga, S. Moore, D. Murray, C. Olah, M. Schuster, J. Shlens, B. Steiner, I. Sutskever, K. Talwar, P. Tucker, V. Vanhoucke, V. Vasudevan, F. Viégas, O. Vinyals, P. Warden, M. Wattenberg, M. Wicke, Y. Yu, and X. Zheng, “TensorFlow: Large-scale machine learning on heterogeneous systems,” 2015 · 2015
Later among the works it cites.
S. Ioffe and C. Szegedy, “Batch normalization: Accelerating deep network training by reducing internal covariate shift,” in International conference on machine learning
2015
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
2014
Cited alongside, same era.
E. Variani, X. Lei, E. McDermott, I. L. Moreno, and J. Gonzalez-Dominguez, “Deep neural networks for small footprint text-dependent speaker verification,” in Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on
2014
Cited alongside, same era.
O. Abdel-Hamid, A.-r. Mohamed, H. Jiang, L. Deng, G. Penn, and D. Yu, “Convolutional neural networks for speech recognition,” IEEE/ACM Transactions on audio, speech, and language processing
2014
Cited alongside, same era.
2014
Cited alongside, same era.
S. Han, J. Pool, J. Tran, and W. Dally, “Learning both weights and connections for efficient neural network,” in Advances in neural information processing systems
2015
Cited alongside, same era.
D. Tran, L. Bourdev, R. Fergus, L. Torresani, and M. Paluri, “Learning spatiotemporal features with 3d convolutional networks,” in Computer Vision (ICCV), 2015 IEEE International Conference on
2015
Cited alongside, same era.
F. Richardson, D. Reynolds, and N. Dehak, “Deep neural network approaches to speaker and language recognition,” IEEE Signal Processing Letters
2015
Cited alongside, same era.
Later among the works it cites.
G. Heigold, I. Moreno, S. Bengio, and N. Shazeer, “End-to-end text-dependent speaker verification,” in Acoustics, Speech and Signal Processing (ICASSP), 2016 IEEE International Conference on
2016
Later among the works it cites.
J. S. Chung and A. Zisserman, “Out of time: automated lip sync in the wild,” in Workshop on Multi-view Lip-reading, ACCV
2016
Later among the works it cites.
R. R. Varior, M. Haloi, and G. Wang, “Gated siamese convolutional neural network architecture for human re-identification,” in European Conference on Computer Vision
2016
Later among the works it cites.
C. Zhang and K. Koishida, “End-to-end text-independent speaker verification with triplet loss on short utterances,” in Proc. of Interspeech
2017
Later among the works it cites.
A. Nagrani, J. S. Chung, and A. Zisserman, “Voxceleb: a large-scale speaker identification dataset,” in INTERSPEECH
2017
Later among the works it cites.
2018
Closest in time.
X. Sun, A. Torfi, and N. Nasrabadi, “Deep siamese convolutional neural networks for identical twins and look-alike identification,” Deep Learning in Biometrics
2018
Closest in time.