CAJ | 학술논문

基音周期是语音信号的重要参数,提取藏语语音基音周期为藏语语音识别和藏语语音合成奠定很重要的基础.这里在分析藏语发音特点的基础上进行基于LPC的藏语语音基音周期提取算法的分析,实践表明,该方法更加符合小信噪比藏语音信号基音周期和提取.在传统LPC分析方法的基础上结合自相关法和倒谱法,分析计算平均相对误差,总结出了符合藏语语音特点的特征提取算法.
기음주기시어음신호적중요삼수,제취장어어음기음주기위장어어음식별화장어어음합성전정흔중요적기출.저리재분석장어발음특점적기출상진행기우LPC적장어어음기음주기제취산법적분석,실천표명,해방법경가부합소신조비장어음신호기음주기화제취.재전통LPC분석방법적기출상결합자상관법화도보법,분석계산평균상대오차,총결출료부합장어어음특점적특정제취산법.
Pitch period is an important parameter of speech signal. It is an important foundation to extract Tibetan pitch pe-riod for speech recognition and synthesis of Tibetan language. The Tibetan speech pitch extraction algorithm based on LPC is analyzed based on the analysis on the characteristics of Tibetan language pronunciation. In combination with the autocorrelation method and cepstrum method based on traditional LPC analysis method,the average relative error is analyzed and calculated, and the feature extraction algorithm conforming to the phonetic characteristics of Tibetan is summed.