3 search results - page 1 / 1 » Maximizing global entropy reduction for active learning in s... |
162
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CSL
2010
Springer
15 years 5 months ago
2010
Springer
We propose a unified global entropy reduction maximization (GERM) framework for active learning and semi-supervised learning for speech recognition. Active learning aims to select...
172
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ICASSP
2009
IEEE
16 years 1 days ago
2009
IEEE
We propose a new active learning algorithm to address the problem of selecting a limited subset of utterances for transcribing from a large amount of unlabeled utterances so that ...
169
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INTERSPEECH
2010
15 years 3 days ago
2010
In this paper, we propose a novel boosted mixture learning (BML) framework for Gaussian mixture HMMs in speech recognition. BML is an incremental method to learn mixture models fo...