【摘要】 本文提出了一种新的适用于宽带语音编码ISF参数量化的非等系数帧间预测分裂矢量量化方案.该量化方案利用ISF参数的帧间相关性,基于预测分裂矢量量化原理,首先对待量化的ISF参数矢量进行去均值和非等系数帧间预测,然后对去均值后的ISF参数的预测残差进行分裂矢量量化.实验表明,该算法在每帧编码比特数为46bits时达到了透明量化,且平均谱失真比G.722.2中ISF参数量化的平均谱失真小.更多还原

【Abstract】 An unequal coefficients interframe predictive split vector quantizer is proposed.This quantizer is used for quantizing the ISF(Immittance Spectral Frequencies) parameters of wideband speech.This quantizer is based on interframe correlation and split vector quantization.In this quantizer,the unequal coefficients interframe prediction is firstly applied on the mean-removed ISF parameters vector to be quantized,and then the ISF residual vector is quantized using split vector quantizer.Experimental results show that this quantization scheme achieves transparent coding at 46bits/frame,and the average spectral distortion is lower than that of AMR-WB(ITU-T-G.722.2) speech coding standard.更多还原