A Fractional Bit Allocation Algorithm Based On Mixed Excitation Linear Prediction

摘要：

In order to improve the performance of vector quantization based on different patterns, a fractional bit allocation algorithm for unvoiced/voiced(U/V) and pitch parameters based on Mixed Excitation Linear Prediction (MELP) has been proposed in this paper. This algorithm first quantizes U/V with integral bit allocation as the pattern index of pitch and gets every quantization distortion of pitch under each pattern with the allowable codebook size, then utilizes dynamic programming to get the optimal codebook size allocation under a given quota of bit number and calculates the corresponding total quantization distortion. The same procedure is conducted again with the number of patterns decreasing by one until the distortion increase rate of U/V exceeding the distortion decrease rate of pitch. Simulation results show that the method proposed here can reduce at least 25％ of the quantization distortion of pitch and increase Mean Opinion Score (MOS) of the synthesized speech by 0.03.

关键词： speech coding vector quantization codebook size allocation fractional bit allocation

作者: XU Jingde WEI Xuan JI Zhe CUI Huijuan TANG Kun

作者单位: State Key Laboratory of Microwave and Digital Communication,Department of Electronic Engineering, Tsinghua University, Beijing 100084, China

会议类型: 国际会议

会议名称: 2010 IEEE 10th International Conference on Signal Processing(第十届信号处理国际会议 ICSP 2010)

会议地点: 北京

会议语种:英文

页码: 482-485

在线出版日期: 2010-08-24（万方平台首次上网日期，不代表论文的发表时间）