M
Manuel Moussallam
Researcher at Paris Diderot University
Publications - 41
Citations - 578
Manuel Moussallam is an academic researcher from Paris Diderot University. The author has contributed to research in topics: Sparse approximation & K-SVD. The author has an hindex of 10, co-authored 38 publications receiving 330 citations. Previous affiliations of Manuel Moussallam include Institut Mines-Télécom & Télécom ParisTech.
Papers
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Journal ArticleDOI
Spleeter: a fast and efficient music source separation tool with pre-trained models
TL;DR: The performance of the pre-trained models are very close to the published state-of-the-art and is one of the best performing 4 stems separation model on the common musdb18 benchmark to be publicly released.
Journal ArticleDOI
Sustaining persistent lava lakes: Observations from high-resolution gas measurements at Villarrica volcano, Chile
Yves Moussallam,Philipson Bani,Aaron Curtis,Talfan Barnie,Manuel Moussallam,Nial Peters,C. Ian Schipper,Alessandro Aiuppa,Alessandro Aiuppa,Gaetano Giudice,A. Amigo,Gabriela Velasquez,Carlos Cardona +12 more
TL;DR: In this article, high-frequency SO2 fluxes, plume composition, thermal emissions and aerial video footage from the Villarrica lava lake were used to determine the mechanism sustaining its activity.
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Hydrogen emissions from Erebus volcano, Antarctica
Yves Moussallam,Clive Oppenheimer,Clive Oppenheimer,Alessandro Aiuppa,Alessandro Aiuppa,Gaetano Giudice,Manuel Moussallam,Philip R. Kyle +7 more
TL;DR: In this paper, the authors used a new generation of low-cost electrochemical sensors to measure H2, along with SO2, H2O and CO2, in the gas and aerosol plume emitted from the phonolite lava lake at Erebus volcano, Antarctica.
Posted Content
Music Mood Detection Based On Audio And Lyrics With Deep Neural Net
TL;DR: This work reproduces the implementation of traditional feature engineering based approaches and proposes a new model based on deep learning that outperforms classical models on the arousal detection task, and shows that both approaches perform equally on the valence prediction task.
Journal ArticleDOI
Volcanic gas emissions and degassing dynamics at Ubinas and Sabancaya volcanoes; implications for the volatile budget of the central volcanic zone
Yves Moussallam,Giancarlo Tamburello,Giancarlo Tamburello,Nial Peters,Fredy Apaza,Ian Schipper,Aaron Curtis,Alessandro Aiuppa,Alessandro Aiuppa,Pablo Masias,Marie Boichu,Sophie Bauduin,Talfan Barnie,Philipson Bani,Gaetano Giudice,Manuel Moussallam +15 more
TL;DR: In this article, the authors reported the first measurements of the compositions and fluxes of volcanic gases emitted from these volcanoes, and determined an average SO 2 flux of 15.3 ± 2.3 kg/s − 1 (1325-ton/day − 1 ) at Sabancaya and 11.4± 3.9 kg/m/m at Ubinas using scanning ultraviolet spectroscopy and dual UV camera systems.