| Spleeter: a fast and efficient music source separation tool with pre-trained models R Hennequin, A Khlif, F Voituret, M Moussallam Journal of Open Source Software 5 (50), 2154, 2020 | 580 | 2020 |
| Music mood detection based on audio and lyrics with deep neural net R Delbouys, R Hennequin, F Piccoli, J Royo-Letelier, M Moussallam arXiv preprint arXiv:1809.07276, 2018 | 163 | 2018 |
| Explainability in music recommender systems D Afchar, A Melchiorre, M Schedl, R Hennequin, E Epure, M Moussallam AI Magazine 43 (2), 190-208, 2022 | 128 | 2022 |
| Sustaining persistent lava lakes: Observations from high-resolution gas measurements at Villarrica volcano, Chile Y Moussallam, P Bani, A Curtis, T Barnie, M Moussallam, N Peters, ... Earth and Planetary Science Letters 454, 237-247, 2016 | 61 | 2016 |
| Hydrogen emissions from Erebus volcano, Antarctica Y Moussallam, C Oppenheimer, A Aiuppa, G Giudice, M Moussallam, ... Bulletin of Volcanology 74 (9), 2109-2120, 2012 | 57 | 2012 |
| Volcanic gas emissions and degassing dynamics at Ubinas and Sabancaya volcanoes; implications for the volatile budget of the central volcanic zone Y Moussallam, G Tamburello, N Peters, F Apaza, CI Schipper, A Curtis, ... Journal of Volcanology and Geothermal Research 343, 181-191, 2017 | 44 | 2017 |
| Multilingual lyrics-to-audio alignment A Vaglio, R Hennequin, M Moussallam, G Richard, F d'Alché-Buc International Society for Music Information Retrieval Conference (ISMIR), 2020 | 40 | 2020 |
| FastGAE: Scalable graph autoencoders with stochastic subgraph decoding G Salha, R Hennequin, JB Remy, M Moussallam, M Vazirgiannis Neural Networks 142, 1-19, 2021 | 36 | 2021 |
| Follow the guides: disentangling human and algorithmic curation in online music consumption Q Villermet, J Poiroux, M Moussallam, T Louail, C Roth Proceedings of the 15th ACM Conference on Recommender Systems, 380-389, 2021 | 36 | 2021 |
| Improving collaborative metric learning with efficient negative sampling VA Tran, R Hennequin, J Royo-Letelier, M Moussallam Proceedings of the 42nd International ACM SIGIR Conference on Research and …, 2019 | 32 | 2019 |
| WASABI: a two million song database project with audio and cultural metadata plus WebAudio enhanced client applications G Meseguer-Brocal, G Peeters, G Pellerin, M Buffa, E Cabrio, CF Zucker, ... Web Audio Conference 2017–Collaborative Audio# WAC2017, 2017 | 28 | 2017 |
| Codec independent lossy audio compression detection R Hennequin, J Royo-Letelier, M Moussallam 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 25 | 2017 |
| Audio based disambiguation of music genre tags R Hennequin, J Royo-Letelier, M Moussallam arXiv preprint arXiv:1809.07256, 2018 | 23 | 2018 |
| Audio-based detection of explicit content in music A Vaglio, R Hennequin, M Moussallam, G Richard, F d’Alché-Buc ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 18 | 2020 |
| Matching pursuits with random sequential subdictionaries M Moussallam, L Daudet, G Richard Signal Processing 92 (10), 2532-2544, 2012 | 16 | 2012 |
| Hierarchical latent relation modeling for collaborative metric learning VA Tran, G Salha-Galvan, R Hennequin, M Moussallam Proceedings of the 15th ACM conference on recommender systems, 302-309, 2021 | 13 | 2021 |
| Modeling the music genre perception across language-bound cultures EV Epure, G Salha, M Moussallam, R Hennequin arXiv preprint arXiv:2010.06325, 2020 | 12 | 2020 |
| Disambiguating music artists at scale with audio metric learning J Royo-Letelier, R Hennequin, VA Tran, M Moussallam arXiv preprint arXiv:1810.01807, 2018 | 12 | 2018 |
| From Real to Cloned Singer Identification D Desblancs, G Meseguer-Brocal, R Hennequin, M Moussallam arXiv preprint arXiv:2407.08647, 2024 | 11 | 2024 |
| The words remain the same: Cover detection with lyrics transcription A Vaglio, R Hennequin, M Moussallam, G Richard 22nd International Society for Music Information Retrieval Conference ISMIR 2021, 2021 | 11 | 2021 |
Romain HennequinDeezer ResearchVerified email at deezer.com
