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中文核心期刊

一种利用多带激励模型改进的低速率线性预测语音编码算法

A linear prediction algorithm in low bit rate speech coding improved by multi-band excitation model

  • 摘要: 提出了一种利用多带激励(MBE)模型改进的低速率线性预测(LPC)语音编码算法.文中介绍了该算法的参数提取、量化编码及语音合成的具体方案,并用C语言构造了一个基于该算法的速率为1,6 kb/s的语音编码/解码系统.主观测听表明,该系统性能与 2.4 kb/s的 MELP算法接近或相当。

     

    Abstract: A Linear Prediction Coding (LPC) algorithm in low bit rate speech coding improved by Multi-Band Excitation (MBE) model is presented. The detailed schemes of parameter extraction, quantitation, coding, and speech synthesis are introduced. In addition, a 1.6 kb/s speech coding/decoding system based on this algorithm is constructed with language C. By subjective evaluation, it is concluded that the performance of this system approaches or corresponds to that of 2.4 kb/s MELP algorithm.

     

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