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An approach to parameter reoptimization in multipulse-based coders

机译:基于多脉冲编码器的参数重新优化方法

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摘要

An algorithm for LPC parameter optimization in multipulse (MP)-linear-prediction-coding (LPC)-based speech coders is presented. It is shown that by taking the nature of the MP excitation signal into account in the LPC parameter computation, it is possible to improve the effectiveness of the LPC model. This results in a better quality of the reconstructed signal in terms of both objective and subjective criteria. The implementation details of the algorithm are discussed, and experimental results are presented. In particular, a comparison with standard MP LPC techniques is given.
机译:提出了一种基于多脉冲(MP)-线性预测编码(LPC)的语音编码器中LPC参数优化的算法。结果表明,通过在LPC参数计算中考虑MP激励信号的性质,可以提高LPC模型的有效性。就客观和主观标准而言,这导致重构信号的质量更高。讨论了该算法的实现细节,并给出了实验结果。特别地,给出了与标准MP LPC技术的比较。

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