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| 语音消噪应用研究 | |
| 引用本文： | 田玉静,左红伟,郭芳华. 语音消噪应用研究[J]. 声学技术, 2008, 27(4): 557-561 |
| 作者姓名： | 田玉静 左红伟 郭芳华 |
| 作者单位： | 1. 青岛理工大学现代教育技术中心,山东青岛,266033 2. 青岛理工大学土木工程学院,山东青岛,266033 3. 西安工业大学电子信息工程学院,西安,710032 |
| 摘 要： | 从时域与频域对比研究了低信噪比语音消噪问题，时域采用LMS自适应消噪，频域分析选用小波技术，对两种消噪方法进行了系统全面的分析，对比讨论了各自的优势及不足，对实际信号进行了仿真消噪并与原始语音取样信号相比较，研究表明选用消噪方法对低信噪比语音消噪是明显有效的，LMS自适应消噪及小波消噪具有很强的实际应用价值。 |
| 关 键 词： | 自适应消噪 LMS算法 小波消噪 |
| 收稿时间： | 2008-04-01 |
| 修稿时间： | 2008-06-26 |
Speech de-noising application study |
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| TIAN Yu-jing,ZUO Hong-wei and GUO Fang-hua. Speech de-noising application study[J]. Technical Acoustics, 2008, 27(4): 557-561 | |
| Authors: | TIAN Yu-jing ZUO Hong-wei GUO Fang-hua |
| Affiliation: | TIAN Yu-jing, ZUO Hong-wei, GUO Fang-hua (1. Modern Education and Technology Center, Qingdao Technology University, Qingdao 266033, Shandong, China; 2. School of Civil Engineering,Qingdao Technological University, QingDao 266033, Shandong, China; 3. School of Information and Electrical Engineering, Xi＇an Technological University, Xi＇an 710032, China) |
| Abstract: | From the time and the frequency domains a study of de-noising problem for lower signal to noise radio is made： the adaptive noise reduction with LMS algorithm is used in the time domain analysis and the wavelet de-noising is used in the frequency domain study. The two methods are analyzed by contrast, and their advantage and weakness are discussed. A sample signal of speech with noise is simulated, and the de-noised sample signal is compared with the pure speech sample signal. The research result shows a good effect on noise reduction by means of the selected methods. |
| Keywords: | adaptive noise reduction LMS algorithm wavelet de-noising |
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