Active learning and semi-supervised learning for speech recognition: A unified framework using the global entropy reduction maximization criterion

Author:

Yu Dong,Varadarajan Balakrishnan,Deng Li,Acero Alex

Publisher

Elsevier BV

Subject

Human-Computer Interaction,Theoretical Computer Science,Software

Reference20 articles.

1. Anderson, B., Moore, A., 2005. Active learning for hidden markov models: objective functions and algorithms. In: ICML 2005.

2. Anderson, B., Siddiqqi, S., Moore, A., 2006. Sequence Selection for Active Learning. Technical Report CMU-IR-TR-06-16.

3. Charlet, D., 2001. Confidence-measure-driven unsupervised incremental adaptation for HMM-based speech recognition. In: Proceedings of ICASSP. pp. 357360.

4. Dagan, I., Engelson, S.P., 1995. Committee-based sampling for training probabilistic classifiers. In: Proceedings of ICML. pp. 150157.

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