Audio Highlight Scene Extraction Using Support Vector Machines
De Xu · Microcomputer applications · 2004
Audio information exists at everywhere, but is often out-of-order. It is necessary to arrangy them into regularized classes and recognize in order to use them more easily. In this paper, we present our work in applying support vector machines(SVMs) to recoginze audio highlight scene in sports program. In our experiment, Useings VSMs do well in train error and result error if we select a small sample, so it have a high precision.