An i-vector extractor suitable for speaker recognition with both microphone and telephone speech, p.6, 2010. ,
Visualizing data using t-SNE, Journal of Machine Learning Research, vol.9, pp.2579-2605, 2008. ,
Analysis and compensation of speech under stress and noise for environmental robustness in speech recognition, Speech Communication, vol.20, issue.1-2, pp.151-173, 1996. ,
DOI : 10.1016/S0167-6393(96)00050-7
URL : http://crss.utdallas.edu/Publications/Hansen1996a.pdf
Speaker verification in score-ageing-quality classification space, Computer Speech & Language, vol.27, issue.5, pp.1068-1084, 2013. ,
DOI : 10.1016/j.csl.2012.12.005
URL : http://www.mee.tcd.ie/%7Esigmedia/pmwiki/uploads/Main.Publications/kelly_sv_score_age_quality.pdf
A channel-blind system for speaker verification, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.4536-4539, 2011. ,
DOI : 10.1109/ICASSP.2011.5947363
Robust feature front-end for speaker identification, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.2012-2012 ,
DOI : 10.1109/ICASSP.2012.6288853
Probabilistic Linear Discriminant Analysis for Inferences About Identity, 2007 IEEE 11th International Conference on Computer Vision, pp.1-8, 2007. ,
DOI : 10.1109/ICCV.2007.4409052
Bayesian speaker verification with heavy-tailed priors, p.14, 2010. ,
Within-class covariance normalization for svm-based speaker recognition, p.2006, 2006. ,
Deep Neural Network Approaches to Speaker and Language Recognition, IEEE Signal Processing Letters, vol.22, issue.10, pp.1671-1675, 2015. ,
DOI : 10.1109/LSP.2015.2420092
A Study of the Cosine Distance-Based Mean Shift for Telephone Speech Diarization, IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol.22, issue.1, pp.217-227, 2014. ,
DOI : 10.1109/TASLP.2013.2285474
Neighbourhood components analysis, Advances in Neural Information Processing Systems, pp.513-520, 2004. ,
Metric learning with adaptive density discrimination, International Conference on Learning Representations (ICLR), 2015. URL http ,
Eigenvoice modeling with sparse training data, IEEE Transactions on Speech and Audio Processing, vol.13, issue.3, pp.345-354, 2005. ,
DOI : 10.1109/TSA.2004.840940
An Investigation into Back-end Advancements for Speaker Recognition in Multi-Session and Noisy Enrollment Scenarios, IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol.22, issue.12, pp.1978-1992, 2014. ,
DOI : 10.1109/TASLP.2014.2352154
Language recognition via i-vectors and dimensionality reduction, pp.857-860, 2011. ,
Speaker age estimation using i-vectors, Engineering Applications of Artificial Intelligence, vol.34, pp.99-108, 2014. ,
DOI : 10.1016/j.engappai.2014.05.003
The IBM 2016 Speaker Recognition System, Odyssey 2016, pp.174-180 ,
DOI : 10.21437/Odyssey.2016-25
URL : http://arxiv.org/pdf/1602.07291
Probabilistic Linear Discriminant Analysis, European Conference on Computer Vision (ECCV), pp.531-542, 2006. ,
DOI : 10.1109/NNSP.1999.788121
Non-Parametric Discriminant Analysis, Medizinische Informationsverarbeitung und Epidemiologie im Dienste der Gesundheit, pp.320-322, 1988. ,
DOI : 10.1007/978-3-642-83520-9_60
Adaptive weighted learning for linear regression problems via Kullback???Leibler divergence, Pattern Recognition, vol.46, issue.4, pp.1209-1219, 2013. ,
DOI : 10.1016/j.patcog.2012.10.017
Fast neighborhood component analysis, Neurocomputing, vol.83, pp.31-37, 2012. ,
DOI : 10.1016/j.neucom.2011.10.021
Distance metric learning for large margin nearest neighbor classification, Journal of Machine Learning ResearchFeb), vol.10, pp.207-244, 2009. ,
Stochastic triplet embedding, 2012 IEEE International Workshop on Machine Learning for Signal Processing, pp.1-6, 2012. ,
DOI : 10.1109/MLSP.2012.6349720
Bayesian Face Revisited: A Joint Formulation, European Conference on Computer Vision, pp.566-579, 2012. ,
DOI : 10.1007/978-3-642-33712-3_41
URL : http://research.microsoft.com/en-us/um/people/jiansun/papers/ECCV12_BayesianFace.pdf
Deep Metric Learning via Lifted Structured Feature Embedding, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp.4004-4012, 2016. ,
DOI : 10.1109/CVPR.2016.434
URL : http://dspace.mit.edu/bitstream/1721.1/113397/1/Jegelka_Deep%20metric.pdf
CliqueCNN: Deep unsupervised exemplar learning, Advances In Neural Information Processing Systems, pp.3846-3854, 2016. ,
Deep speaker: an end-to-end neural speaker embedding system, arXiv preprint, Z. Zhu, 1705. ,
Large-scale machine learning with stochastic gradient descent, 19th International Conference on Computational Statistics, pp.177-186, 2010. ,
DOI : 10.1007/978-3-7908-2604-3_16
URL : http://leon.bottou.org/publications/pdf/compstat-2010.pdf
Training Region-Based Object Detectors with Online Hard Example Mining, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp.761-769, 2016. ,
DOI : 10.1109/CVPR.2016.89
URL : http://arxiv.org/pdf/1604.03540
DropSample : A new training method to enhance deep convolutional neural networks for large-scale unconstrained handwritten Chinese character recognition, Pattern Recognition, vol.58, pp.58-190, 2015. ,
DOI : 10.1016/j.patcog.2016.04.007
URL : http://arxiv.org/pdf/1505.05354
Large Scale Hard Sample Mining with Monte Carlo Tree Search, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp.5128-5137, 2016. ,
DOI : 10.1109/CVPR.2016.554
Introduction to Information Retrieval, 2008. ,
DOI : 10.1017/CBO9780511809071
Neural networks : tricks of the trade, 2012. ,
DOI : 10.1007/978-3-642-35289-8
Exploiting the structure: Stochastic gradient methods using raw clusters, arXiv preprint, NIPS 2016 ,
Relay Backpropagation for Effective Learning of Deep Convolutional Neural Networks, European Conference on Computer Vision (ECCV), pp.467-482, 2016. ,
DOI : 10.1007/s11263-014-0748-y
URL : http://arxiv.org/pdf/1512.05830
Dimensionality Reduction by Learning an Invariant Mapping, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Volume 2 (CVPR'06), pp.1735-1742, 2006. ,
DOI : 10.1109/CVPR.2006.100
URL : http://www.cs.nyu.edu/~raia/docs/cvpr06.pdf
The kaldi speech recognition toolkit, IEEE 2011 workshop on automatic speech recognition and understanding, no. EPFL-CONF-192584, 2011. ,
Information-theoretic metric learning, Proceedings of the 24th international conference on Machine learning, ICML '07, pp.209-216, 2007. ,
DOI : 10.1145/1273496.1273523
URL : http://www.cs.utexas.edu/users/jdavis/papers/jdavis_nips06_itml.pdf
Local similarity-aware deep feature embedding, Advances in Neural Information Processing Systems, pp.1262-1270, 2016. ,