| 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 |
| 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 | 74 | 2017 |
| Restricted Boltzmann machines for vector representation of speech in speaker recognition O Ghahabi, J Hernando Computer Speech & Language 47, 16-29, 2018 | 41 | 2018 |
| Restricted Boltzmann machine supervectors for speaker recognition O Ghahabi, J Hernando 2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015 | 27 | 2015 |
| A robust voice activity detection for real-time automatic speech recognition O Ghahabi, W Zhou, V Fischer Proc. ESSV, 85-91, 2018 | 26 | 2018 |
| I-vector modeling with deep belief networks for multi-session speaker recognition O Ghahabi, J Hernando Odyssey 2014, 2014 | 21 | 2014 |
| Feature Classification by means of Deep Belief Networks for Speaker Recognition P Safari, O Ghahabi, J Hernando EUSIPCO 2015, 2015 | 16 | 2015 |
| From features to speaker vectors by means of restricted boltzmann machine adaptation P Safari, O Ghahabi Esfahani, FJ Hernando Pericás ODYSSEY 2016-The Speaker and Language Recognition Workshop, 366-371, 2016 | 13 | 2016 |
| Deep Neural Networks for i-Vector Language Identification of Short Utterances in Cars O Ghahabi, A Bonafonte, J Hernando, A Moreno INTERSPEECH, 2016 | 11 | 2016 |
| Global impostor selection for DBNs in multi-session i-vector speaker recognition O Ghahabi, J Hernando Advances in Speech and Language Technologies for Iberian Languages: Second …, 2014 | 10 | 2014 |
| On the acoustic environment of a neonatal intensive care unit: initial description, and detection of equipment alarms G Raboshchuk, C Nadeu, O Ghahabi, S Solvez, BM Mahamud, ... Fifteenth Annual Conference of the International Speech Communication …, 2014 | 9 | 2014 |
| Modified EZW and SPIHT algorithms for perceptually audio and high quality speech coding O Ghahabi, MH Savoji 2009 IEEE International Conference on Signal and Image Processing …, 2009 | 7 | 2009 |
| Recent improvements to neural network based acoustic modeling in the EML realtime transcription platform V Fischer, O Ghahabi, S Kunzmann Proceedings of 29th conference on electronic speech signal processing. Ulm …, 2018 | 6 | 2018 |
| Deep learning for i-vector speaker and language recognition O Ghahabi Universitat Politècnica de Catalunya, 2018 | 5 | 2018 |
| Re-encoding of perceptually quantized wavelet packet transform coefficients of audio and high quality speech O Ghahabi, MH Savoji 2009 16th International Conference on Digital Signal Processing, 1-6, 2009 | 5 | 2009 |
| Speaker-Corrupted Embeddings for Online Speaker Diarization O Ghahabi, V Fischer Proc. Interspeech 2019, 386-390, 2019 | 4 | 2019 |
| EML Submission to Albayzin 2018 Speaker Diarization Challenge O Ghahabi, V Fischer Proc. IberSPEECH 2018, 216-219, 2018 | 4 | 2018 |
| Deep learning in speaker recognition O Ghahabi, P Safari, J Hernando Development and Analysis of Deep Learning Architectures, 145-169, 2020 | 2 | 2020 |
| A simple perceptual method for quantizing wavelet packet coefficients of wideband speech O Ghahabi, MH Savoji IEEE 10th INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS, 466-469, 2010 | 2 | 2010 |
| Adaptive Variable Degree‐k Zero‐Trees for Re‐Encoding of Perceptually Quantized Wavelet Packet Transformed Audio and High‐Quality Speech O Ghahabi, MH Savoji International Scholarly Research Notices 2011 (1), 145758, 2011 | 1 | 2011 |
Javier HernandoProfessor of Electrionic Egineering, Universitat Politecnica de Catalunya在 upc.edu 的电子邮件经过验证
