A Hybrid Framework for Topic Structure using Laughter Occurrences
Table 3: Number of segments used for BayesTopic, BestCluster and Hybrid Approach for the Best Results (including the time for each of the meetings)
['ICSI ID', 'Time(min)', 'BayesTopic', 'BestCluster', 'Hybrid']
We perform Spearman’s ρ correlation test on each pairwise columns. We find that there is least (ρ=0.10) correlation between the BayesTopic and BestCluster number of segment distribution, on the other hand there is more (ρ=0.46) correlation between the BestCluster and Hybrid approach the number of segment distribution, whereas the segments between the BayesTopic and Hybrid approach are also not well-correlated (ρ=0.26). So in case a meeting runs much longer than the others , it does not necessarily mean that there are many local discourse or many topics to discuss. We observe from the Bmr009 transcript that the participants tried to make the meeting short with two discussion-topics namely, signal processing and transcription issues, then the individual digit recording started.