| Acoustic beamforming for speaker diarization of meetings X Anguera, C Wooters, J Hernando IEEE Transactions on Audio, Speech, and Language Processing 15 (7), 2011-2022, 2007 | 490 | 2007 |
| Jitter and shimmer measurements for speaker recognition M Farrús, J Hernando, P Ejarque 8th Annual Conference of the International Speech Communication Association …, 2007 | 300 | 2007 |
| Time and frequency filtering of filter-bank energies for robust HMM speech recognition C Nadeu, D Macho, J Hernando Speech Communication 34 (1-2), 93-114, 2001 | 198 | 2001 |
| On the decorrelation of filter-bank energies in speech recognition C Nadeu Camprubí, FJ Hernando Pericás, M Gorricho Moreno EUROSPEECH'95: 4th European Conference on Speech Communication and …, 1995 | 144 | 1995 |
| Self multi-head attention for speaker recognition P Safari, J Hernando arXiv preprint arXiv:1906.09890, 2019 | 128* | 2019 |
| A deep analysis on age estimation I Huerta, C Fernández, C Segura, J Hernando, A Prati Pattern Recognition Letters 68, 239-249, 2015 | 106 | 2015 |
| Deep belief networks for i-vector based speaker recognition O Ghahabi, J Hernando 2014 IEEE international conference on acoustics, speech and signal …, 2014 | 99 | 2014 |
| Linear prediction of the one-sided autocorrelation sequence for noisy speech recognition J Hernando, C Nadeu IEEE Transactions on Speech and Audio Processing 5 (1), 80-84, 1997 | 97 | 1997 |
| Using jitter and shimmer in speaker verification M Farrús, J Hernando IET Signal Processing 3 (4), 247-257, 2009 | 89 | 2009 |
| Self-attention encoding and pooling for speaker recognition P Safari, M India, J Hernando arXiv preprint arXiv:2008.01077, 2020 | 77 | 2020 |
| Deep learning backend for single and multisession i-vector speaker recognition O Ghahabi, J Hernando IEEE/ACM Transactions on Audio, Speech, and Language Processing 25 (4), 807-817, 2017 | 73 | 2017 |
| Speaker diarization for multi-party meetings using acoustic fusion X Anguera, C Woofers, J Hernando IEEE Workshop on Automatic Speech Recognition and Understanding, 2005., 426-431, 2005 | 64 | 2005 |
| Maximum likelihood weighting of dynamic speech features for CDHMM speech recognition J Hernando 1997 IEEE International Conference on Acoustics, Speech, and Signal …, 1997 | 63 | 1997 |
| Two-source acoustic event detection and localization: Online implementation in a smart-room T Butko, FG Pla, C Segura, C Nadeu, J Hernando 2011 19th European Signal Processing Conference, 1317-1321, 2011 | 61 | 2011 |
| Real-time GPU-based face detection in HD video sequences D Oro, C Fernández, JR Saeta, X Martorell, J Hernando 2011 IEEE International Conference on Computer Vision Workshops (ICCV …, 2011 | 59 | 2011 |
| Purity algorithms for speaker diarization of meetings data X Anguera, C Wooters, J Hernando 2006 IEEE International Conference on Acoustics Speech and Signal Processing …, 2006 | 51 | 2006 |
| Hybrid speech/non-speech detector applied to speaker diarization of meetings X Anguera, M Aguilo, C Wooters, C Nadeu, J Hernando 2006 IEEE Odyssey-The Speaker and Language Recognition Workshop, 1-6, 2006 | 48 | 2006 |
| Automatic speaker recognition as a measurement of voice imitation and conversion M Farrús Cabeceran, M Wagner, D Erro Eslava, FJ Hernando Pericás The Intenational Journal of Speech. Language and the Law 1 (17), 119-142, 2010 | 47 | 2010 |
| How vulnerable are prosodic features to professional imitators? M Farrús, M Wagner, J Anguita, J Hernando Odyssey 2008: The Speaker and Language Recognition Workshop; 2008 Jan. 21-24 …, 2008 | 46 | 2008 |
| Automatic speech activity detection, source localization, and speech recognition on the CHIL seminar corpus D Macho, J Padrell, A Abad, C Nadeu, J Hernando, J McDonough, ... 2005 IEEE International Conference on Multimedia and Expo, 876-879, 2005 | 43 | 2005 |
