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 | 1126 | 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 | 773 | 2014 |
Emotion Recognition from Speech Using Wav2vec 2.0 Embeddings L Pepino, P Riera, L Ferrer Proc. Interspeech 2021, 2021 | 333 | 2021 |
The Speakers in the Wild (SITW) speaker recognition database. M McLaren, L Ferrer, D Castan, A Lawson Interspeech, 818-822, 2016 | 310 | 2016 |
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 | 309 | 2005 |
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 | 208 | 2005 |
Common limitations of image processing metrics: A picture story A Reinke, MD Tizabi, CH Sudre, M Eisenmann, T Rädsch, M Baumgartner, ... arXiv preprint arXiv:2104.05642, 2021 | 163 | 2021 |
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 | 160 | 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 | 133 | 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 | 124 | 2012 |
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 | 104 | 2007 |
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 | 101 | 2015 |
Nonparametric feature normalization for SVM-based speaker verification A Stolcke, S Kajarekar, L Ferrer 2008 IEEE International Conference on Acoustics, Speech and Signal …, 2008 | 100 | 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, 1-7, 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, 2014 | 94 | 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 |
Metrics reloaded: recommendations for image analysis validation L Maier-Hein, A Reinke, P Godau, MD Tizabi, F Buettner, E Christodoulou, ... Nature methods, 1-18, 2024 | 83 | 2024 |
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 | 83 | 2003 |
Classification of lexical stress using spectral and prosodic features for computer-assisted language learning systems L Ferrer, H Bratt, C Richey, H Franco, V Abrash, K Precoda Speech Communication 69, 31-45, 2015 | 74 | 2015 |
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 | 71 | 2018 |