Improving SVM-based speech/music classifier based on conditional MAP criterion

摘要

To enhance SVM-based speech/music classifications by exploiting substantial inter-frame correlations in speech/music frames, we propose a technique using the second-order conditional maximum a posteriori (CMAP) probability that considers not only the current observation but also the classification results of the two previous frames.