Using prior knowledge to assess relevance in speech summarization

Abstract

We explore the use of topic-based automatically acquired prior knowledge in speech summarization, assessing its influence throughout several term weighting schemes. All information is combined using latent semantic analysis as a core procedure to compute the relevance of the sentence-like units of the given input source. Evaluation is performed using the… (More)
DOI: 10.1109/SLT.2008.4777867

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