Finally, the enhanced query model (that is P(w|H) in speech recognition) can be estimated by RM, SMM, RSMM or QMM, and further combined with the background n-gram (e.g., trigram) language model to form an adaptive language model to guide the speech recognition process.
extractive speech summarization aims at producing a concise summary by selecting salient sentences or paragraphs from the original spoken document according to a predefined target summarization ratio (Carbonell and Goldstein, 1998;Mani and Maybury, 1999;Nenkova and McKeown, 2011;Liu and Hakkani-Tur, 2011).