Automatic Genre and Show Identification of Broadcast Media
Table 3: Genre/show classification accuracy using whole show and segment based acoustic LDA models
['#Domains', 'Whole Show Genre ID', 'Whole Show Show ID', 'Segment Based Genre ID', 'Segment Based Show ID']
Whole shows were used to train the LDA models with varying number of latent domains with the same procedure outlined in the previous section. The performance of these models is to be compared with the proposed segment based LDA models. For the segment level models the posterior estimates on short segments can be noisy. Picking the domain with the highest posterior probability and representing the posterior vector as one-hot-vector may reduce the posterior estimate noise and it was found to slightly outperform the base case and was used in the experiments.