首页> 外国专利> Process for generating at least one among a set of vectors of the book of code and to quantizador vector.The generator to provide set of vectors of the book of code 2m for quantizador vector, digital memory.The process of selecting a word code of stimulation for the encoder signal excited by code book search controller code for encoder signal excited by code.The process of selecting word code of stimulation specifies I from a set of code words of excitement y,The voice encoder and process of reconstructing signal memory of the Book Co.

Process for generating at least one among a set of vectors of the book of code and to quantizador vector.The generator to provide set of vectors of the book of code 2m for quantizador vector, digital memory.The process of selecting a word code of stimulation for the encoder signal excited by code book search controller code for encoder signal excited by code.The process of selecting word code of stimulation specifies I from a set of code words of excitement y,The voice encoder and process of reconstructing signal memory of the Book Co.

机译:生成密码本向量中的至少一个向量并量化为向量的过程。生成器为密码本向量,数字存储器提供密码本向量2m的向量集合。选择刺激字码的过程激励字码的选择过程从一组兴奋的码字y中指定I,语音编码器和书的信号存储重建过程。公司

摘要

An improved excitation vector generation and search technique (FIG. 1) is described for a code-excited linear prediction (CELP) speech coder (100) using a codebook of excitation code vectors. A set of M basis vectors Vm(n) are used along with the excitation signal codewords (i) to generate the codebook of excitation vectors ui(n) according to a "vector sum" technique (120) of converting the selector codewords into a plurality of interim data signals, multiplying the set of M basis vectors by the interim data signals, and summing the resultant vectors to produce the set of 2M codebook vectors. The entire codebook of 2M possible excitation vectors is efficiently searched by using the vector sum generation technique with the M basis vectors-without ever having to generate and evaluate each of the 2M code vectors themselves. Furthermore, only M basis vectors need to be stored in memory (114), as opposed to all 2M code vectors.
机译:描述了一种使用激励代码矢量的码本的,用于代码激励线性预测(CELP)语音编码器(100)的改进的激励矢量生成和搜索技术(图1)。一组M个基向量Vm(n)与激励信号码字(i)一起使用,以根据将选择器代码字转换为a的“向量和”技术(120)生成激励矢量ui(n)的码本。多个中间数据信号,将这组M个基本矢量与中间数据信号相乘,然后将所得的矢量相加,以生成一组2M个码本矢量。通过使用具有M个基向量的向量和生成技术,可以有效地搜索2M个可能激励向量的整个码本,而不必自己生成和评估2M个码向量本身。此外,与所有2M代码向量相反,仅M个基本向量需要被存储在存储器(114)中。

著录项

  • 公开/公告号BR8807414A

    专利类型

  • 公开/公告日1990-05-15

    原文格式PDF

  • 申请/专利权人 MOTOROLA INC.;

    申请/专利号BR19888807414

  • 发明设计人 IRA ALAN GERSON;

    申请日1988-12-05

  • 分类号G10L9/14;

  • 国家 BR

  • 入库时间 2022-08-22 06:19:57

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