Speech recognition is the important problem in pattern recognition research field. In this paper, the un-normalized, symmetric normalized, and random walk ...
In this paper, we will present the graph based semi-supervised learning methods, de- rive their detailed regularization framework, and apply these methods to ...
Oct 28, 2018 · Hypergraph based semi-supervised learning algorithms applied to speech recognition problem: a novel approach. Authors:Loc Hoang Tran, Trang ...
Semi-supervised learning has demonstrated promising results in automatic speech recognition. (ASR) by self-training using a seed ASR model with pseudo-labels ...
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Graph Based Semi-supervised Learning Methods Applied to Speech Recognition Problem. https://doi.org/10.1007/978-3-319-15392-6_26.
To the best of our knowledge, the hypergraph Laplacian based semi-supervised learning methods have not yet been applied to speech recognition problem. In ...
In this paper, we propose the un-normalized graph p-Laplacian semi-supervised learning methods and these methods will be applied to the speech network ...
This synthesis lecture focuses on graph-based SSL algorithms (e.g., label propagation methods), which have been shown to outperform the state-of-the-art in ...
Graph Based Semi-supervised Learning Methods Applied to Speech Recognition Problem. H. Trang, and L. Tran. ICTCC, volume 144 of Lecture Notes of the ...
Get details about the chapter of Graph Based Semi-supervised Learning Methods Applied to Speech Recognition Problem from book Nature of Computation and ...