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.
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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