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语音信号的线性预测分析

于 2022-12-18 发布 文件大小:1.05 kB
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1、  在Matlab中读入所录制的语音。 2、选择一帧浊音的语音进行LPC分析,并计算其预测残差信号;根据LPC预测参数计算其频谱,并与相应的傅立叶频谱作比较。分别画出你所选择的浊音的波形、LPC参数频谱和傅立叶频谱。画出其预测残差信号的波形和傅里叶频谱。根据图形给出你对LPC分析的理解与认识的简要的描述,说明LPC参数谱和残差信号(波形盒频谱)中如何体现有关语音声道系统和激励源的重要信息 说明:VoiceBox中的lpcauto命令可以实现语音的线性预测分析,lpcifilt命令可以实现语音信号的逆滤波(计算其残差信号);上述各种频谱均仅要求画出其对数幅度谱。 3、根据3中所得的LPC预测参数和残差信号重构原语音帧信号。比较重构信号和原信号,是否可以得到跟原来信号一样的重构信号? 4、选择一帧清音信号,重复步骤2、3中的实验过程。比较清音和浊音的区别。

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