In　this　paper,　a　novel　method　to　voiced/unvoiced/silence　of　speech　classification　using　Support　Vector　Machine　(SVM)　is　proposed.　This　classifier　can　correctly　classify　speech　frames　into　voiced　frame,　unvoiced　frame　and　silence　frame.　The　comparison　of　experiment　result　shows　that　the　proposed　method　outperforms　other　traditional　methods.　The　performance　of　SVM　for　different　kernel　functions　in　the　experiment　was　analyzed　and　discussed　as　well.　©　2004　IEEE.