摘要
为了有效地减少语音编码的比特数、降低量化误差以及提高解码语音质量,提出了一种二级矢量量化的LPC声码器算法.该算法在模糊聚类与LBG级联的VQ算法的基础上,进一步采用二级矢量量化算法对特征参数矢量进行量化.特征参数为语音的两个特征值:基音周期与增益.第一级码本为矢量码本;第二级码本为误差码本.将该算法应用于LPC声码器中进行仿真实验,结果表明:该算法能有效地降低量化比特数并且减少了量化误差,从而使解码语音质量得到改善.
In order to reduce the number of bits in the speech coding effectively ,and improve the quali-ty of decoding speech ,put forward a kind of secondary vector quantization of LPC vocoder algorithm. The algorithm ,based on fuzzy clustering and cascade LBG VQ algorithm ,further adopt two-stage VQ algo-rithm to research LPC vocoder ,codebook has two characteristic value of this parameter for voice ：pitch and gain. The first level code for the training samples by fuzzy clustering and then cascade with LBG quan-titative codebook ;Secondary codebook is the first level codebook with the training sample set through the same way as the primary codebook to get the error codebook. The algorithm is used to code the LPC vo-coder in simulation experiment ,the experimental results show that the algorithm can reduce the number of bits needed for quantitative , and reduce the quantization error to improve the quality of the decoded speech.
出处
《青海师范大学学报（自然科学版）》
2014年第3期34-38,共5页
Journal of Qinghai Normal University(Natural Science Edition)
关键词
语音编码
二级矢量量化
LPC
声码器
码本
训练样本集
speech coding
the secondary vector quantization
LPC vocoder
codebook
the training sample set
