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pro vyhledávání: '"Mocanu, Alexandru"'
Music source separation represents the task of extracting all the instruments from a given song. Recent breakthroughs on this challenge have gravitated around a single dataset, MUSDB, only limited to four instrument classes. Larger datasets and more
Externí odkaz:
http://arxiv.org/abs/2010.09453
Autor:
Mocanu, Bogdan, Bichir, Cristina, Mocanu, Alexandru, Oprescu, Silviu, Gheorghe, Irina, Ciocâlteu, Alina
Publikováno v:
ORL.ro; 2024, Vol. 64 Issue 3, p6-9, 4p
Autor:
Mocanu, Bogdan, Bichir, Cristina, Mocanu, Alexandru, Oprescu, Silviu, Gheorghe, Irina, Ciocâlteu, Alina
Publikováno v:
ORL.ro; 2024, Issue 63, p10-13, 4p
Autor:
Mocanu, Bogdan, Bichir, Cristina, Mocanu, Alexandru, Oprescu, Silviu, Gheorghe, Irina, Ciocâlteu, Alina
Publikováno v:
ORL.ro; 2024, Issue 62, p5-8, 4p
Publikováno v:
ORL.ro. 2023, Issue 60, p6-7. 2p.
Publikováno v:
ORL.ro; 2023, Issue 58, p5-7, 3p
Autor:
Mocanu, Alexandru
Musical source separation is a complex topic that has been extensively explored in the signal processing community and has benefited greatly from recent machine learning research. Many deep learning models with impressive source separation quality ha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______185::b3af0a39910c6cca45546539e00af931
https://infoscience.epfl.ch/record/279389
https://infoscience.epfl.ch/record/279389
Publikováno v:
International Financial Law Review; Jul2009, Vol. 27 Issue 7, p44-45, 2p, 1 Color Photograph