基于多模预测多级矩阵量化的LSF参数高效编码

Xia Zou, Xiongwei Zhang
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引用次数: 6

摘要

针对基于LPC的语音编码器中线谱频率的极低比特率量化,提出了一种高效的多模预测多级矩阵量化方法。该技术的一个新方面是基于模式的预测器和量化器。另一个新颖的方面是考虑到连续超帧之间的模式转换以及预测器和量化器之间的联系来优化预测系数。实验结果表明,该方法在极低的比特率下产生的LSF量化器比目前几种方法设计的量化器质量更高。
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Efficient coding of LSF parameters using multi-mode predictive multistage matrix quantization
An efficient multi-mode predictive multistage matrix quantization is proposed for very low bit rate quantization of line spectral frequencies (LSF) in LPC based speech coder. One novel aspect of the proposed technique is the mode based predictor and quantizer. Another novel aspect is the optimization of the predictive coefficients considering the mode transition between successive superframes and the connection between predictor and quantizer. Experimental results show that the proposed method yields higher quality LSF quantizer at very low bit rate than those designed with several recently proposed methods.
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