A tag‐based framework for extracting spoken surrogates | Zendy

Kim Hyun Hee | Zendy

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A 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.

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