ARMA倒谱用于语音识别的特征参数  

Speech recognition by ARMA cepstrum characteristics

作　　者：李宛州[1] 吕维雪[1] 

机构地区：[1]浙江大学科学仪器系

出　　处：《浙江大学学报（自然科学版）》1990年第5期691-701,共11页

摘　　要：本文介绍了一种以ARMA倒谱系数为语音识别特证参数的快速递推算法,并给出了实验结果,证明它优于LPC倒谱,是语音识别中一种新的有效方法。Not all ARMA models are reversible. But rt finds that the ir-reversibilty would be untenable while only the output can be measured and excitating source can not for speech production. And proved that the jdentific model of speech must be minium-phased by reason of convergence and stable vocal-tract p-ropagation. From the view of that, the recurrence relations between the model cepstrum cofficients (?)ould be listed. The equalities for findind ARMA coffi-cients obtained with the relations between the ARMA model and AR model. And ARMA cepstrum fast recurrence formula based on minium-phased obtained The effectiveness is proved by speech recognition experiments. It is found that it is a new effective characteristics for speech recognition.

关 键 词：语音识别 倒谱 ARMA模型 特征参数 

分 类 号：TN912.34[电子电信—通信与信息系统]