【摘要】 提出了一种随机段模型的解码优化算法。检测出具有语音学意义的界标点,根据这些界标点分析临近语音段的边界信息和声韵母类别信息,最后将这些边界信息和类别信息用于指导随机段模型的搜索过程。实验中,两种类型的界标点能较为准确地被检测出来,并用于指导随机段模型的解码,在"863-test"测试集上进行的汉语连续语音识别实验显示,在正确率只有轻微下降的同时,解码时间下降了12.92%,这表明了将语音学知识引入语音识别系统的有效性。更多还原

【Abstract】 A framework was proposed which attempts to incorporate landmarks into segment based Mandarin speech recognition system.In the method,landmarks provide boundary information and phonetic class information,and the information is used to direct the decoding process.To prove the validity of this method,two kinds of landmarks which can be detected reliably were used to direct the decoding process of a segment model(SM)based Mandarin LVCSR system.Experiments conducted on"863-test"set show that decoding time can be saved about 12.92% without obviously decreasing the recognition accuracy.Thus,potential of the method is demonstrated.更多还原