| 小波分析在语音识别系统中的研究与应用 |
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| 引用本文： | 王岩,苏健民,于慧伶,赵伟. 小波分析在语音识别系统中的研究与应用[J]. 林业劳动安全, 2007, 20(1): 38-41 |
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| 作者姓名： | 王岩 苏健民 于慧伶 赵伟 |
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| 作者单位： | 东北林业大学,黑龙江,哈尔滨,150040 |
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| 摘 要： | 在语音识别系统的不同处理阶段,大部分可以使用小波分析技术进行实现,并且这种实现方法比传统的方法具有更好的效果.本文重点探讨了在端点检测、噪声去除以及参数提取过程中使用小波分析技术的原理及方法,并提出现阶段所存在的问题及解决方案.
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| 关 键 词： | 小波变换 端点检测 信号去噪 参数提取 系统安全 |
| 文章编号： | 1006-5091（2007）01-0038-04 |
| 收稿时间： | 2006-11-08 |
| 修稿时间： | 2006-11-08 |
Study and Application of Wavelet Analysis Technology in Speech Recognition System |
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| WANG Yan,SU Jian-min,YU Hui-ling,ZHAO Wei. Study and Application of Wavelet Analysis Technology in Speech Recognition System[J]. Forestry Labour Safety, 2007, 20(1): 38-41 |
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| Authors: | WANG Yan SU Jian-min YU Hui-ling ZHAO Wei |
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| Affiliation: | Northeast Forestry University, Harbin 150040, China |
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| Abstract: | Different processing stages of speech recognition system largely depends on wavelet analysis technology that is more efficient than traditional methods. The stress is put on the principle and method of using wavelet analysis technology in the process detecting end point, removing noise and extracting parameters with currently existing problems and relevant solutions presented. |
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| Keywords: | wavelet transform end point detection noise removal from signals parameters extraction system safety |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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