【作者】 王贵平； 鲍长春；

【Author】 WANG Gui-ping,BAO Chang-chun (School of Electronic Information and Control Engineering,Beijing University of Technology,Beijing 100022,China)

【机构】 北京工业大学电子信息与控制工程学院；

【摘要】 波形内插语音编码模型作为当今最具潜力的低速率语音编码方案之一,因其良好的性能,越来越受到人们的重视。本文在波形内插语音编码算法基础上,提出了一种基于奇异值分解(SVD)的LP残差信号的分解与量化方法,减少了算法的延时,提高了分解精度。在分解模型中,将CW分成基本矩阵、过渡矩阵和补充矩阵,并采用不同的量化方法,有效地降低了运算复杂度;在量化过程中,引入周期因子和能量熵来衡量CW周期程度,解决了奇异值分解后参数难于量化的问题,提高了编码效率。主观A/B测试表明,本文提出的2.4kbps SVD-WI编码器的重建语音质量略好于2.4kbps MELP编码器。更多还原

【Abstract】 As one of the current most potential low bit rates speech coding schemes,waveform interpolation model with its high performance,has been paid more and more attention.The Singular Value Decomposition is proposed in this paper to decompose LP residual signal based on WI speech coding,which reduced the delay of speech coder and improved the precision of decomposition;In the decomposition mode,the magnitude spectrum of CW is perceptually divided into basic matrix,transitional matrix and supplemental matrix to be quantized respectively,which effectively reduce the computational complexity;In the course of quantization,Periodic Factor and Energy Entropy are introduced to indicate the periodicity of CW,which solve the difficulty for quantization of parameters after SVD and improve the efficiency of coding.Subjective A/B listening tests indicated that the reconstructed speech quality of the 2.4kbps SVD-WI codec is a litde better than that of 2.4kbps MELP coder.更多还原