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LPC pole encoding using reduced spectral shaping polynomial

机译:使用简化频谱整形多项式的LPC极点编码

摘要

Pole encoding of a linear predictive all-pole model of speech is accomplished by first finding poles up to the number required for good prediction (e.g., ten). These poles are extracted from the LPC predictor polynomial, using, e.g., a slightly modified Bairstow method. Those poles having a sufficiently narrow bandwidth (i.e., those sufficiently near the unit circle) are separately encoded, since these poles generally correspond to perceptually important formants. The remaining poles are lumped together to form a residual polynomial. The residual polynomial is then transformed to produce reflection coefficients, and all reflection coefficients above the first two are discarded. This provides an efficient spectral-shaping polynomial of a reduced degree. Thus, pole encoding is made possible using a reduced and adaptively varied bit rate.
机译:语音的线性预测全极模型的极编码是通过首先找到达到良好预测所需数目(例如十个)的极来完成的。这些极点是使用例如稍微修改的Bairstow方法从LPC预测多项式中提取的。具有足够窄带宽的那些极点(即,那些足够靠近单位圆的极点)被分别编码,因为这些极点通常对应于感知上重要的共振峰。其余极点集中在一起以形成残差多项式。然后对残差多项式进行变换以生成反射系数,并丢弃前两个系数以上的所有反射系数。这提供了减小程度的有效频谱整形多项式。因此,使用减小的且自适应地变化的比特率使得极点编码成为可能。

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