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Vector quantization-lattice vector quantization of speech LPC coefficients

机译:语音LPC系数的矢量量化-晶格矢量量化

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Two-stage vector quantization-lattice vector quantization (VQ-LVQ) is used to encode the speech line spectrum pair (LSP) parameters. VQ-LVQ has the advantages of lower implementational complexity and less required memory than split vector quantization (SVQ) and multi-stage vector quantization (MSVQ) with unstructured codebooks. Based on the authors' speech data base and the same spectral measure, VQ-LVQ can save about 3 bits/frame compared to SVQ, and has advantages of about 2 to 3 bits/frame compared to unstructured codebook MSVQ, depending on the number of stages and the survivor path search complexity. The paper also provides a discussion on some factors influencing the evaluation of the LSP encoding performance.
机译:两级矢量量化-格子矢量量化(VQ-LVQ)用于编码语音线谱对(LSP)参数。与具有非结构化码本的分割矢量量化(SVQ)和多级矢量量化(MSVQ)相比,VQ-LVQ具有较低的实现复杂性和所需内存更少的优点。根据作者的语音数据库和相同的频谱测量,与SVQ相比,VQ-LVQ可以节省大约3位/帧,与非结构化码本MSVQ相比,VQ-LVQ的优势是大约2至3位/帧,具体取决于VQ-LVQ的数量。阶段和幸存者路径搜索的复杂性。本文还讨论了一些影响LSP编码性能评估的因素。

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