Graph-Based Semisupervised Learning for Acoustic Modeling in Automatic Speech Recognition

IEEE/ACM Trans. Audio, Speech & Language Processing, Volume 24, Issue 11, 2016, Pages 1946-1956.

Cited by: 14|Bibtex|Views11|DOI:https://doi.org/10.1109/TASLP.2016.2593800
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Other Links: dblp.uni-trier.de|dl.acm.org|academic.microsoft.com

Abstract:

In this paper, we investigate how to apply graph-based semisupervised learning to acoustic modeling in speech recognition. Graph-based semisupervised learning is a widely used transductive semisupervised learning method in which labeled and unlabeled data are jointly represented as a weighted graph; the resulting graph structure is then u...More

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