中文摘要：

提出了一种基于支持向量机的联合多种置信特征进行语音识别确认的判定方法．从待确认语音中提取出分段的后验概率和线性预测编码识别结果置信特征，其中后验概率根据垃圾模型近似计算得到；设计支持向量机分类器联合多种置信特征给出最终确认结果，实验结果表明，所提出的置信特征和支持向量机分类器取得了很好的确认效果．

英文摘要：

In this paper, an approach is presented for integrating several confidence measures to verify utterance based on support vector machine （SVM）. Segmental filler-based posterior probability parameters and linear predictive coding （LPC） recognition difference measure are derived from the verified utterance. An SVM classifier is trained to integrate several confidence measures to make final decision. Experimental results show that confidence measures and the SVM classifier are effective for utterance verification.