Imposing Hierarchical Browsing Structures onto Spoken Documents

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ConferenceThe 23rd International Conference on Computational Linguistics (COLING 2010), August 23-27, 2010, Beijing, China
AbstractThis paper studies the problem of imposing a known hierarchical structure onto an unstructured spoken document, aiming to help browse such archives. We formulate our solutions within a dynamic-programming-based alignment framework and use minimum errorrate training to combine a number of global and hierarchical constraints. This pragmatic approach is computationally efficient. Results show that it outperforms a baseline that ignores the hierarchical and global features and the improvement is consistent on transcripts with different WERs. Directly imposing such hierarchical structures onto raw speech without using transcripts yields competitive results.
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AffiliationNRC Institute for Information Technology; National Research Council Canada
Peer reviewedYes
NPARC number16885323
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Record identifier2673a3e7-6964-4588-9e16-f4d43274c67b
Record created2011-02-22
Record modified2016-05-09
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