The general method is to let the two classifiers predict the class for a given sample, and if they agree, the hypothesized label is used.
when this agreement-based approach is used for prosodic event detection, we notice that there is not only difference in the labeling accuracy between positive and negative samples, but also an imbalance of the self-labeled positive and negative examples (details in Section 6).