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Enhancement of VSELP speech coding for North American digitalcellular

机译:增强了针对北美数字的VSELP语音编码蜂窝状的

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摘要

We consider enhancement of the North American IS-54/136 vector sumexcited linear prediction (VSELP) speech coding in the sense of reducingcomplexity or improving speech quality. For complexity reduction, wefind a few techniques which can reduce, respectively, the pitch andexcitation search complexities by approximately 40-50% at a moderateSSNR loss of roughly 0.5 dB. For quality improvement, we considertree-structured pitch and excitation search. Aside from demonstrating aroughly 0.3-1 dB SSNR gain, we present a technique which cansignificantly reduce tree-search complexity. And we analyze thesimulation results to obtain rule-of-thumb formulas for quasi-optimaldetermination of the tree parameters under different complexity andperformance conditions
机译:我们考虑增强北美IS-54 / 136矢量和 减少意义上的激发线性预测(VSELP)语音编码 复杂性或提高语音质量。为了降低复杂度,我们 找到一些可以分别降低音高和音高的技术 中等程度时,激发搜索的复杂度大约为40-50% SSNR损耗约为0.5 dB。为了提高质量,我们考虑 树型音高和激励搜索。除了展示一个 大约0.3-1 dB的SSNR增益,我们提出了一种可以 大大降低了树搜索的复杂度。然后我们分析 模拟结果以获得准最优的经验法则公式 确定不同复杂度下的树参数 性能条件

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