| 基于短时能量—LPCC的语音特征提取方法研究 |
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| 引用本文： | 王钟斐,王彪.基于短时能量—LPCC的语音特征提取方法研究[J].计算机与数字工程,2012,40(11):79-80,127. |
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| 作者姓名： | 王钟斐 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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| 基金项目： | 宝鸡文理学院院级重点项目 |
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| 摘 要： | 为了提高语音信号的识别率,提出了一种基于短时能量—LPCC的语音特征提取方法。该方法在LPCC参数的基础上,增加每帧信号的短时能量信息,使得新参数能够更为准确的表征语音信号。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： | 特征参数 提取 短时能量 LPCC参数 语音信号 |
Research on a Speech Signal Feature Extraction Method Based on the Short-time Energy-LPCC |
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| WANG Zhongfei
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WANG Biao.Research on a Speech Signal Feature Extraction Method Based on the Short-time Energy-LPCC[J].Computer and Digital Engineering,2012,40(11):79-80,127. |
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| Authors: | WANG Zhongfei WANG Biao |
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| Affiliation: | (Mathematics Department,Baoji University of Arts and Sciences,Baoji 721013) |
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| Abstract: | In order to improve the speech recognition rate,a speech signal feature extraction method based on the short-time energy-LPCC is proposed.The short-time energy Information of each frame signal based on LPCC parameters are increased in the method,which make the new parameters can provide a more accurate representation of speech signals.The new feature parameters obtains high recognition rate is explained through the simulation experiments. |
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| Keywords: | feature parameters extraction short-time energy LPCC parameters speech signal |
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