|
|||||
|
|
| 线谱频率参数的快速、低存储矢量量化 | |
| 引用本文： | 梁彦霞,杨家玮,李烨,聂敏,刘欣.线谱频率参数的快速、低存储矢量量化[J].吉林大学学报(工学版),2012,42(1):223-227. |
| 作者姓名： | 梁彦霞 杨家玮 李烨 聂敏 刘欣 |
| 作者单位： | 1. 西安邮电学院通信与信息工程学院,西安710121／西安电子科技大学综合业务网国家重点实验室,西安710071 2. 西安电子科技大学综合业务网国家重点实验室,西安,710071 3. 西安邮电学院通信与信息工程学院,西安,710121 4. 中兴通讯股份有限公司,西安,710065 |
| 基金项目： | 国家杰出青年科学基金，长江学者和创新团队发展计划项目，"863"国家高技术研究发展计划项目，国家自然科学基金项目，ISN国家重点实验室专项基金项目，高等学校创新引智计划项目 |
| 摘 要： | 为降低码书的存储空间和搜索复杂度,更充分地利用线谱频率参数帧内和帧间的相关性,提出了一种快速、低存储的矢量量化器。将线谱频率参数去除平均值后进行一阶滑动平均预测,将残差进行三级矢量量化。在第二级量化时,将高维线谱频率参数矢量分裂成两个低维的部分,分别用不同的码书进行量化,降低了码书的存储空间和搜索复杂度。C语言仿真结果显示,在满足低速率编码的前提下,平均谱失真达到0.91dB,2～4dB的谱泄露为0.13%,无4dB以上谱泄露,同时码书的存储空间和搜索复杂度均降低了31%以上。 |
| 关 键 词： | 信息处理技术 语音编码 滑动平均预测 矢量量化 谱失真 |
Fast and low-storage vector quantizer of line spectral frequency coefficients |
|
| LIANG Yan-xia,YANG Jia-wei,LI Ye,NIE Min,LIU Xin.Fast and low-storage vector quantizer of line spectral frequency coefficients[J].Journal of Jilin University:Eng and Technol Ed,2012,42(1):223-227. | |
| Authors: | LIANG Yan-xia YANG Jia-wei LI Ye NIE Min LIU Xin |
| Affiliation: | 1.School of Communication and Information Engineering,Xi’an Institute of Post and Telecommunication,Xi’an 710121,China;2.State Key Laboratory of Integrated Service Networks,Xidian University,Xi’an 710071,China;3.ZTE Corporation,Xi’an 710065,China) |
| Abstract: | A fast and low-storage vector quantizer was developed to quantize line spectral frequency(LSF) coefficients.It reduces the storage and searching complexity of codebooks by better use of the inter and intra frame correlations of LSF coefficients.After the average value was removed,LSF coefficients were predicted by a first order moving average predictor.Then the residual LSF coefficients were quantized by a three-stage vector quantizer.In the second stage,each high-dimensional LSF coefficient vector was slit into low-dimensional parts,which were quantized by different codebooks to reduce the storage and searching complexity of the codebooks.Simulation by C programming language demonstrates that the average spectral distortion is 0.91 dB,the percentage of outlier between 2 dB and 4 dB is 0.13% under the condition of low bit rate speech coding.Both storage and searching complexity of codebooks are reduced more than 31%. |
| Keywords: | information processing speech coding moving average predictor vector quantization spectral distortion |
| 本文献已被 CNKI 万方数据 等数据库收录！ | |