For the transcriptbased systems, the sim 1 and sim 2 scores in this paper are measured by the number of words shared between a sentence and a sentence/document set mentioned above, weighted by the idf scores of these words, which is similar to the calculation of sentence centroid values by Radev et al.
this model is of interest due to its independence from spoken language transcription, an error-prone and resource-intensive process, its ability to integrate multiple sources of information on the same topic, and its novel use of acoustic patterns that extends previous work on low-level prosodic feature detection.