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神经网络非线性预测及语音编码 被引量:2

Non-Linear Prediction Based on ANN and Speech Coding
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摘要 本文用神经网络非线性模型进行语音信号的处理.通过与各种线性预测算法的结果进行比较表明,前向神经网仅用10个左右的输入抽头可消除语音信号中的短项(相邻样值)和长项(基音)相关性,预测误差小于经典的线性预测系统,这说明所谓的线性基音相关性可表示成语音的短项非线性相关性,在众多的应用领域中就可取消有时难于难确进行的基者估计,本文提出的基于非线性预测的ADPCM语音编码系统。 This paper indicates that non-linear prediction technique should be one of more efficient tools for signal prmessing, because some non-linear correlation exists between adjacent saxnples of various signals. Ex periments based on both linear and non-linear predictions of speech signals are given. Finally, we apply non-lin ear technique to speech coding.
作者 杨震 毕厚杰
机构地区 南京邮电学院
出处 《电子学报》 EI CAS CSCD 北大核心 1998年第1期1-5,共5页 Acta Electronica Sinica
基金 国家自然科学基金 邮电部中青年科研基金
关键词 语音信号处理 编码 预测 神经网络 Speech signal processing, Coding and prediction, Neural network
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参考文献3

  • 1Wu Lizhong,IEEE Trans SP,1994年,42卷,482页
  • 2张立明,人工神经网络的模型及其应用,1993年
  • 3陈永彬,语言信号处理,1990年

同被引文献14

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