Using Document Summarization Techniques for Speech Data Subset Selection
Kai Wei, Yuzong Liu, Katrin Kirchhoff and Jeff Bilmes
In this paper we leverage methods from submodular function optimization
developed for document summarization and apply them to the problem of
subselecting acoustic data. We evaluate our results on data subset selection
for a phone recognition task. Our framework shows significant improvements
over random selection and previously proposed methods using a similar amount of
resources.
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