【作者】 李靓； 鲍长春；

【Author】 LiJing BaoChangChun (Electronic Information and Control Engineering College,Beijing University of Technology,Beijing 100022)

【机构】 北京工业大学电子信息与控制工程学院；

【摘要】 本文基于二阶暂时分解模型,利用LSF参数的有序性,给出了一种用于LSF参数压缩的TD算法,在参数未量化的情况下可获得约为1.28dB的平均谱失真,对表征随时间变化的LSF参数序列的事件函数和事件函数矢量分别进行矢量量化,实验结果表明编码速率在500b/s以下时,能够获得一个相对较低的平均谱失真。更多还原

【Abstract】 In this paper,by using the LSF ordering property a TD algorithm for LSF parameters compress is presented based on second order TD model of speech.This approach gives the average spectral distortion of about 1.28 dB when all parameters are not quantized.Experimental results show that a relative low spectral distortion can be achieved below a rate of 500b/s by separately vector quantizing event function and event vector which describe the variation of LSF parameters as a function of time.更多还原