| Downbeat tracking with multiple features and deep neural networks S Durand, JP Bello, B David, G Richard 2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015 | 46 | 2015 |
| Deblocking DCT-based compressed images with weighted total variation F Alter, SY Durand, J Froment 2004 IEEE International Conference on Acoustics, Speech, and Signal …, 2004 | 37 | 2004 |
| Feature adapted convolutional neural networks for downbeat tracking S Durand, JP Bello, B David, G Richard 2016 IEEE international conference on acoustics, speech and signal …, 2016 | 31 | 2016 |
| OpenMIC-2018: An Open Data-set for Multiple Instrument Recognition. E Humphrey, S Durand, B McFee ISMIR, 438-444, 2018 | 29 | 2018 |
| End-to-end lyrics alignment for polyphonic music using an audio-to-character recognition model D Stoller, S Durand, S Ewert ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 28 | 2019 |
| Robust downbeat tracking using an ensemble of convolutional networks S Durand, JP Bello, B David, G Richard IEEE/ACM Transactions on Audio, Speech, and Language Processing 25 (1), 76-89, 2016 | 28 | 2016 |
| Downbeat Detection with Conditional Random Fields and Deep Learned Features. S Durand, S Essid ISMIR, 386-392, 2016 | 17 | 2016 |
| Enhancing downbeat detection when facing different music styles S Durand, B David, G Richard 2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014 | 15 | 2014 |
| A conditional random field system for beat tracking T Fillon, C Joder, S Durand, S Essid 2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015 | 14 | 2015 |
| Data Cleansing with Contrastive Learning for Vocal Note Event Annotations G Meseguer-Brocal, R Bittner, S Durand, B Brost arXiv preprint arXiv:2008.02069, 2020 | | 2020 |
| Dereverberation using joint estimation of dry speech signal and acoustic system S Wager, K Choi, S Durand arXiv preprint arXiv:2007.12581, 2020 | | 2020 |
| End-to-End Lyrics Alignment Using An Audio-to-Character Recognition Model D Stoller, S Durand, S Ewert | | 2019 |
| Doctorat ParisTech THÈSE S Durand telecom-paristech, 2017 | | 2017 |
| Estimation automatique des premiers temps dans un signal audio musical S Durand Télécom ParisTech, 2017 | | 2017 |
| Rapport de stage de Master II S Durand | | 2013 |
| LYRICS ALIGNMENT SYSTEMS SED1 AND SED2 FOR MIREX 2019 D Stoller, S Durand, S Ewert | | |
| MIREX 2016 AUDIO DOWNBEAT ESTIMATION EVALUATION: DBDR_NOBA S Durand, JP Bello, B David, G Richard | | |
| MIREX 2014 AUDIO DOWNBEAT ESTIMATION EVALUATION: DB1 S Durand, JP Bello, B David, G Richard | | |
| MIREX 2015 AUDIO DOWNBEAT ESTIMATION SUBMISSIONS: DRDB2 AND DRDB3 S Durand, JP Bello, B David, G Richard | | |
| Multilingual Recognition and Identification ASR for Under-Resourced Languages From Probabilistic Transcription … Y Han, J Kim, K Lee, S Durand, JP Bello, B David, G Richard, J Abeber, ... | | |
Gaël RichardProfessor, Télécom Paris, Institut polytechnique de ParisDirección de correo verificada de telecom-paris.fr
