Zobrazeno 1 - 4
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pro vyhledávání: '"Cances, Leo"'
Publikováno v:
EURASIP Journal on Audio, Speech, and Music Processing, 2022
In this article, we adapted five recent SSL methods to the task of audio classification. The first two methods, namely Deep Co-Training (DCT) and Mean Teacher (MT), involve two collaborative neural networks. The three other algorithms, called MixMatc
Externí odkaz:
http://arxiv.org/abs/2102.08183
Sound event detection (SED) aims at identifying audio events (audio tagging task) in recordings and then locating them temporally (localization task). This last task ends with the segmentation of the frame-level class predictions, that determines the
Externí odkaz:
http://arxiv.org/abs/1906.06909
Autor:
Pellegrini, Thomas, Cances, Léo
The design of new methods and models when only weakly-labeled data are available is of paramount importance in order to reduce the costs of manual annotation and the considerable human effort associated with it. In this work, we address Sound Event D
Externí odkaz:
http://arxiv.org/abs/1901.03146
Akademický článek
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