2017
Leveraging manifold learning for extractive broadcast news summarization
ICASSP 2017accepted
Extractive speech summarization is intended to produce a condensed version of the original spoken document by selecting a few salient sentences from the document and concatenate them together to form a summary. In this paper, we study a novel use of manifold learning techniques for extractive speech…