Open AccessA tag‐based framework for extracting spoken surrogates
Author(s) -
Kim Hyun Hee
Publication year - 2012
Publication title -
proceedings of the american society for information science and technology
Language(s) - English
Resource type - Journals
eISSN - 1550-8390
pISSN - 0044-7870
DOI - 10.1002/meet.14504901385
Subject(s) - automatic summarization , computer science , sentence , natural language processing , speech recognition , artificial intelligence , basis (linear algebra) , mathematics , geometry
We investigated the effectiveness of a tag method for speech summarization and then examined the efficient integration of the tag method with two approaches (an acoustic method and a sentence location approach). Then, we examined the means to present extracted speech summaries. Last, on the basis of our findings and previous studies, we proposed and evaluated a tag‐based framework for generating lecture video speech.