| 一种基于小波包的语音信号特征提取方法研究 |
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| 引用本文： | 王彪. 一种基于小波包的语音信号特征提取方法研究[J]. 信息技术, 2012, 0(6): 158-160,163 |
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| 作者姓名： | 王彪 |
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| 作者单位： | 宝鸡文理学院数学系,宝鸡,721013 |
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| 摘 要： | 为了提高语音信号的识别率,提出了一种基于小波包的语音信号特征提取方法。该方法先对语音信号进行适当尺度的分解,求得各尺度的频谱,在此基础上得到各尺度信号能量,再通过DCT变换获得最后的特征参数。通过仿真实验,说明了新特征参数取得了较高的识别率。
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| 关 键 词： | 特征提取 小波包变换 分解 能量 语音信号 |
A speech signal feature extraction method based on wavelet packet |
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| WANG Biao. A speech signal feature extraction method based on wavelet packet[J]. Information Technology, 2012, 0(6): 158-160,163 |
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| Authors: | WANG Biao |
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| Affiliation: | WANG Biao(Mathematics Department,Baoji University of Arts and Sciences,Baoji 721013,China) |
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| Abstract: | Speech signals is decomposed in appropriate scale of this method,each scale spectrum is obtained,and the energy of each scale signal is getted on this basic,then the final feature parameter is obtained through the DCT transform.The new feature parameter obtains the high recognition rate is explained through the simulation experiments. |
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| Keywords: | feature extraction wavelet packet transform decomposition energy speech signals |
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