In this paper, we study the existing audio classification methods. We design and implement a SVM-based audio classification module, and apply to many multimedia application systems.
本文对现有的音频分类技术及其应用进行充分研究,设计与实现了基于支持向量机的音频分类模块,应用于多个多媒体应用系统中。
Objective To study the superiority and application prospect of support vector machine(SVM) on the forecast of the incidence of hemorrhagic fever with renal syndrome(HFRS).
目的探讨支持向量机(SVM)在肾综合征出血热(HFRS)发病率预测上的优势及应用前景。
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