LPC quantization requirements for the GPP-CELP coder

P. Mermelstein, Y. Qian, K. Zarrinkoub
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引用次数: 1

Abstract

Code-excited linear prediction coding with generalized pitch prediction (GPP-CELP) requires linear prediction filtering of the stochastic codebook output prior to addition of the adaptive codebook (ACE) component. The ACE component represents a sequence of past reconstructed samples passed through a low-pass filter to reflect the reduced pitch periodicity of the higher speech frequencies. The spectrum of the residual manifests broad peaks leading to significantly narrower distributions in the LPC parameter space. Additionally, the quantization error of the residual may be masked by the significantly greater energy of the ACE component. This work compares the quantization requirements for the information required to represent the time-varying LPC filter of the GPP-CELP coder with that of the classical CELP coder. With non-predictive coding of the LPC information a bit-rate reduction from 20 bits/20 ms to 16 bits/20 ms appears feasible without introducing noticeable degradation due to quantization.
LPC量化要求的GPP-CELP编码器
基于广义基音预测的码激励线性预测编码(GPP-CELP)要求在加入自适应码本(ACE)分量之前对随机码本输出进行线性预测滤波。ACE分量表示经过低通滤波器的过去重构样本序列,以反映较高语音频率的降低音调周期性。残差谱表现为宽峰,导致LPC参数空间的分布明显变窄。此外,残差的量化误差可能被ACE分量的显著更大的能量所掩盖。本工作比较了GPP-CELP编码器的时变LPC滤波器与经典CELP编码器的时变LPC滤波器所需信息的量化要求。对于LPC信息的非预测编码,比特率从20比特/20毫秒降低到16比特/20毫秒似乎是可行的,而不会由于量化而引起明显的退化。
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