| Fusion of heterogeneous speaker recognition systems in the STBU submission for the NIST speaker recognition evaluation 2006 N Brummer, L Burget, J Cernocky, O Glembek, F Grezl, M Karafiat, ... IEEE Transactions on Audio, Speech, and Language Processing 15 (7), 2072-2084, 2007 | 338 | 2007 |
| An introduction to application-independent evaluation of speaker recognition systems DA Van Leeuwen, N Brümmer Speaker classification I: Fundamentals, features, and methods, 330-353, 2007 | 269 | 2007 |
| Quenching of magnetic moments by ligand-metal interactions in nanosized magnetic metal clusters DA van Leeuwen, JM Van Ruitenbeek, LJ De Jongh, A Ceriotti, ... Physical review letters 73 (10), 1432, 1994 | 242 | 1994 |
| Automatic discrimination between laughter and speech KP Truong, DA Van Leeuwen Speech Communication 49 (2), 144-158, 2007 | 226 | 2007 |
| The RedDots data collection for speaker recognition KA Lee, A Larcher, G Wang, P Kenny, N Brümmer, D Van Leeuwen, ... Interspeech 2015, 2015 | 188 | 2015 |
| On calibration of language recognition scores N Brummer, DA Van Leeuwen 2006 IEEE Odyssey-The Speaker and Language Recognition Workshop, 1-8, 2006 | 178 | 2006 |
| Duration mismatch compensation for i-vector based speaker recognition systems T Hasan, R Saeidi, JHL Hansen, DA Van Leeuwen 2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013 | 143 | 2013 |
| Fine-tuning wav2vec2 for speaker recognition N Vaessen, DA Van Leeuwen ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 132 | 2022 |
| Accent recognition using i-vector, gaussian mean supervector and gaussian posterior probability supervector for spontaneous telephone speech MH Bahari, R Saeidi, D Van Leeuwen 2013 IEEE international conference on acoustics, speech and signal …, 2013 | 102 | 2013 |
| 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 |
| Automatic detection of laughter. KP Truong, DA van Leeuwen INTERSPEECH, 485-488, 2005 | 98 | 2005 |
| Multilingual large vocabulary speech recognition: the European SQALE project SJ Young, M Adda-Dekker, X Aubert, C Dugast, JL Gauvain, DJ Kershaw, ... Computer Speech & Language 11 (1), 73-89, 1997 | 98 | 1997 |
| I4U submission to NIST SRE 2012: A large-scale collaborative effort for noise-robust speaker verification R Saeidi, KA Lee, T Kinnunen, T Hasan, B Fauve, PM Bousquet, E Khoury, ... Annual Conference of the International Speech Communication Association …, 2013 | 93 | 2013 |
| 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 | 92 | 2013 |
| Speaker age estimation using i-vectors MH Bahari, M McLaren, DA van Leeuwen Engineering Applications of Artificial Intelligence 34, 99-108, 2014 | 91 | 2014 |
| Investigating bilingual deep neural networks for automatic recognition of code-switching frisian speech E Yılmaz, H van den Heuvel, D Van Leeuwen Procedia Computer Science 81, 159-166, 2016 | 85 | 2016 |
| Speech-based recognition of self-reported and observed emotion in a dimensional space KP Truong, DA Van Leeuwen, FMG De Jong Speech communication 54 (9), 1049-1063, 2012 | 85 | 2012 |
| NIST and NFI-TNO evaluations of automatic speaker recognition DA van Leeuwen, AF Martin, MA Przybocki, JS Bouten Computer Speech & Language 20 (2-3), 128-158, 2006 | 84 | 2006 |
| Age estimation from telephone speech using i-vectors MH Bahari, ML McLaren, DA van Leeuwen Portland, USA:[Sn], 2012 | 81 | 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 |
Mitchell McLarenSRI International, Menlo Park, CAVerified email at sri.com
