| The MetaCyc database of metabolic pathways and enzymes and the BioCyc collection of pathway/genome databases R Caspi, R Billington, L Ferrer, H Foerster, CA Fulcher, IM Keseler, ... Nucleic acids research, gkv1164, 2015 | 931 | 2015 |
| A novel scheme for speaker recognition using a phonetically-aware deep neural network Y Lei, N Scheffer, L Ferrer, M McLaren Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International …, 2014 | 708 | 2014 |
| Modeling prosodic feature sequences for speaker recognition E Shriberg, L Ferrer, S Kajarekar, A Venkataraman, A Stolcke Speech Communication 46 (3-4), 455-472, 2005 | 303 | 2005 |
| The Speakers in the Wild (SITW) speaker recognition database. M McLaren, L Ferrer, D Castan, A Lawson Interspeech, 818-822, 2016 | 251 | 2016 |
| MLLR transforms as features in speaker recognition A Stolcke, L Ferrer, S Kajarekar, E Shriberg, A Venkataraman in Proceedings of the 9th European Conference on Speech Communication and …, 2005 | 205 | 2005 |
| 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 | 148 | 2015 |
| Is the speaker done yet? Faster and more accurate end-of-utterance detection using prosody L Ferrer, E Shriberg, A Stolcke Seventh International Conference on Spoken Language Processing, 2002 | 132 | 2002 |
| Towards noise-robust speaker recognition using probabilistic linear discriminant analysis Y Lei, L Burget, L Ferrer, M Graciarena, N Scheffer 2012 IEEE international conference on acoustics, speech and signal …, 2012 | 123 | 2012 |
| Emotion Recognition from Speech Using Wav2vec 2.0 Embeddings L Pepino, P Riera, L Ferrer Proc. Interspeech 2021, 2021 | 106 | 2021 |
| Speaker recognition with session variability normalization based on MLLR adaptation transforms A Stolcke, SS Kajarekar, L Ferrer, E Shrinberg IEEE Transactions on Audio, Speech, and Language Processing 15 (7), 1987-1998, 2007 | 105 | 2007 |
| Nonparametric feature normalization for SVM-based speaker verification A Stolcke, S Kajarekar, L Ferrer 2008 IEEE International Conference on Acoustics, Speech and Signal …, 2008 | 99 | 2008 |
| Promoting robustness for speaker modeling in the community: the PRISM evaluation set L Ferrer, H Bratt, L Burget, H Cernocky, O Glembek, M Graciarena, ... Proceedings of NIST 2011 Workshop, 2011 | 98 | 2011 |
| 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 | 97 | 2015 |
| Application of convolutional neural networks to language identification in noisy conditions Y Lei, L Ferrer, A Lawson, M McLaren, N Scheffer Odyssey 2014, 2014 | 92 | 2014 |
| A prosody-based approach to end-of-utterance detection that does not require speech recognition L Ferrer, E Shriberg, A Stolcke Acoustics, Speech, and Signal Processing, 2003. Proceedings.(ICASSP'03 …, 2003 | 76 | 2003 |
| 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 | 74 | 2014 |
| Modeling duration patterns for speaker recognition L Ferrer, H Bratt, VRR Gadde, SS Kajarekar, E Shriberg, K Sonmez, ... Eighth European Conference on Speech Communication and Technology, 2003 | 70 | 2003 |
| How to train your speaker embeddings extractor M McLaren, D Castan, MK Nandwana, L Ferrer, E Yılmaz Odyssey: The Speaker and Language Recognition Workshop, Les Sables d’Olonne, 2018 | 66 | 2018 |
| A noise-robust system for NIST 2012 speaker recognition evaluation. L Ferrer, M McLaren, N Scheffer, Y Lei, M Graciarena, V Mitra INTERSPEECH, 1981-1985, 2013 | 63 | 2013 |
| The 2016 Speakers in the Wild Speaker Recognition Evaluation. M McLaren, L Ferrer, D Castan, A Lawson Interspeech, 823-827, 2016 | 62 | 2016 |
Mitchell McLarenSRI International, Menlo Park, CAAdresse e-mail validée de sri.com
