| 混沌背景下语音信号提取算法的研究 |
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| 引用本文： | 韩丽娟.混沌背景下语音信号提取算法的研究[J].电子技术,2010,47(5). |
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| 作者姓名： | 韩丽娟 |
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| 作者单位： | 曲阜师范大学计算机科学学院 |
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| 摘 要： | 有效语音信号的提取在说话人识别中起着重要的作用,是声纹识别的主要研究内容之一。由于语音信号的非平稳性和不可预知因素的影响,决定用基于非线性时间序列的状态空间投影算法提取强噪声下的语音信号。该算法对其他场合微弱信号的检测也行之有效。
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| 关 键 词： | 噪声 微弱信号 非线性时间序列 |
Research on Extraction Algorithm for Speech Signals under Chaotic Background |
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| Han Lijuan.Research on Extraction Algorithm for Speech Signals under Chaotic Background[J].Electronic Technology,2010,47(5). |
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| Authors: | Han Lijuan |
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| Affiliation: | Han Lijuan(Computer Science College,QuFu Normal University) |
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| Abstract: | Effective extraction of speech signals plays an important role in the speaker recognition and it is one of the main research contents in voiceprint recognition. Because of non-stationary nature and unpredictable factors of speech signals, it is decided to extract speech signals under strong noise by using state space projection method based on nonlinear time series. The algorithm can also be used in other weak signature detection. |
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| Keywords: | noise weak signal nonlinear time series |
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