快速VQ多抽头pitch预测系数

Zeng Zhihua, Xiao Zimei
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引用次数: 1

摘要

基音预测器对于基于线性预测的合成分析(LPAS)编码器实现高质量语音非常重要。对预测系数进行矢量量化的多分导基音预测器由于具有较高的预测增益,已被越来越多的LPAS编码器所采用。高抽头的基音预测器(抽头>3)具有较好的性能,但由于矢量量化基音预测系数的计算复杂度较高,因此很少使用。本文提出了一种基于似然误差准则的矢量量化(lece -VQ)的多分音基音预测方法。实验表明,所提出的VQ方法可以有效地降低计算复杂度,同时保持较高的语音质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fast VQ of multi-tap pitch predictor coefficients
Pitch predictors are important in achieving high-quality speech for linear prediction-based analysis-by-synthesis (LPAS) coders. Multi-tap pitch predictors with vector quantization (VQ) of the predictor coefficients have been adopted in more and more LPAS coders because they can provide high prediction gain. Higher-tap pitch predictors (tap>3) have better performance but they are seldom used due to the high computational complexity of vector quantizing the pitch predictor coefficients. This paper proposes a new VQ scheme for multi-tap pitch predictors, the likelihood error criterion-based vector quantization (LEC-VQ). Experiments show that the proposed VQ method can efficiently reduce the computational complexity while maintaining high speech quality.
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