A novel scheme for speaker recognition using a phonetically-aware deep neural network Y Lei, N Scheffer, L Ferrer, M McLaren 2014 IEEE international conference on acoustics, speech and signal …, 2014 | 782 | 2014 |
The speakers in the wild (SITW) speaker recognition database. M McLaren, L Ferrer, D Castan, A Lawson Interspeech, 818-822, 2016 | 320 | 2016 |
Advances in deep neural network approaches to speaker recognition M McLaren, Y Lei, L Ferrer 2015 IEEE international conference on acoustics, speech and signal …, 2015 | 165 | 2015 |
Semi-supervised speaker diarization ML McLaren, AD Lawson, H Bratt US Patent 10,133,538, 2018 | 131 | 2018 |
The voices from a distance challenge 2019 evaluation plan MK Nandwana, J Van Hout, M McLaren, C Richey, A Lawson, MA Barrios arXiv preprint arXiv:1902.10828, 2019 | 105 | 2019 |
Study of senone-based deep neural network approaches for spoken language recognition L Ferrer, Y Lei, M McLaren, N Scheffer IEEE/ACM Transactions on Audio, Speech, and Language Processing 24 (1), 105-116, 2015 | 103 | 2015 |
Source-normalized LDA for robust speaker recognition using i-vectors from multiple speech sources M McLaren, D Van Leeuwen IEEE Transactions on Audio, Speech, and Language Processing 20 (3), 755-766, 2011 | 99 | 2011 |
Application of Convolutional Neural Networks to Language Identification in Noisy Conditions. Y Lei, L Ferrer, A Lawson, M McLaren, N Scheffer Odyssey, 2014 | 94 | 2014 |
Quality measure functions for calibration of speaker recognition systems in various duration conditions MI Mandasari, R Saeidi, M McLaren, DA van Leeuwen IEEE Transactions on Audio, Speech, and Language Processing 21 (11), 2425-2438, 2013 | 91 | 2013 |
Voxsrc 2020: The second voxceleb speaker recognition challenge A Nagrani, JS Chung, J Huh, A Brown, E Coto, W Xie, M McLaren, ... arXiv preprint arXiv:2012.06867, 2020 | 89 | 2020 |
Speaker age estimation using i-vectors MH Bahari, M McLaren, DA van Leeuwen Engineering Applications of Artificial Intelligence 34, 99-108, 2014 | 89 | 2014 |
Application of convolutional neural networks to speaker recognition in noisy conditions M McLaren, Y Lei, N Scheffer, L Ferrer fifteenth annual conference of the international speech communication …, 2014 | 86 | 2014 |
Inter-session variability modelling and joint factor analysis for face authentication R Wallace, M McLaren, C McCool, S Marcel 2011 International Joint Conference on Biometrics (IJCB), 1-8, 2011 | 86 | 2011 |
The SRI AVEC-2014 evaluation system V Mitra, E Shriberg, M McLaren, A Kathol, C Richey, D Vergyri, ... Proceedings of the 4th International Workshop on Audio/Visual Emotion …, 2014 | 80 | 2014 |
Age estimation from telephone speech using i-vectors MH Bahari, ML McLaren, DA van Leeuwen Portland, USA:[Sn], 2012 | 80 | 2012 |
Unsupervised acoustic sub-word unit detection for query-by-example spoken term detection M Huijbregts, M McLaren, D Van Leeuwen 2011 IEEE international conference on Acoustics, speech and signal …, 2011 | 77 | 2011 |
VoxSRC 2019: The first VoxCeleb speaker recognition challenge JS Chung, A Nagrani, E Coto, W Xie, M McLaren, DA Reynolds, ... arXiv preprint arXiv:1912.02522, 2019 | 76 | 2019 |
The delta-phase spectrum with application to voice activity detection and speaker recognition I McCowan, D Dean, M McLaren, R Vogt, S Sridharan IEEE Transactions on Audio, Speech, and Language Processing 19 (7), 2026-2038, 2011 | 75 | 2011 |
How to train your speaker embeddings extractor ML McLaren, D Castan, MK Nandwana, L Ferrer, E Yilmaz Les Sables d'Olonne, France: ISCA, 2018 | 72 | 2018 |
The 2016 Speakers in the Wild Speaker Recognition Evaluation. M McLaren, L Ferrer, D Castan, A Lawson Interspeech, 823-827, 2016 | 71 | 2016 |