Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Tax, Tycho Max Sylvester"'
Autor:
Borgholt, Lasse, Tax, Tycho Max Sylvester, Havtorn, Jakob Drachmann, Maaløe, Lars, Igel, Christian
Recent advances in self-supervised learning through contrastive training have shown that it is possible to learn a competitive speech recognition system with as little as 10 minutes of labeled data. However, these systems are computationally expensiv
Externí odkaz:
http://arxiv.org/abs/2102.00850
End-to-end neural network based approaches to audio modelling are generally outperformed by models trained on high-level data representations. In this paper we present preliminary work that shows the feasibility of training the first layers of a deep
Externí odkaz:
http://arxiv.org/abs/1712.00254
Nontrivial connectivity has allowed the training of very deep networks by addressing the problem of vanishing gradients and offering a more efficient method of reusing parameters. In this paper we make a comparison between residual networks, densely-
Externí odkaz:
http://arxiv.org/abs/1711.10271