| Wavelet De-noising of Speech Using Singular Spectrum Analysis for Decomposition Level Selection |
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| 作者姓名： | 蔡铁 朱杰 |
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| 作者单位： | Dept.of Electronic Eng. Shanghai Jiaotong Univ.，Dept.of Electronic Eng.，Shanghai Jiaotong Univ.，Shanghai 200030，China，Shanghai 200030，China |
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| 摘 要： | The problem of speech enhancement using threshold de-noising in wavelet domain was considered.The appropriate decomposition level is another key factor pertinent to de-noising performance.This paper proposed a new wavelet-based de-noising scheme that can improve the enhancement performance significantly in the presence of additive white Gaussian noise.The proposed algorithm can adaptively select the optimal decomposition level of wavelet transformation according to the characteristics of noisy speech.The experimental results demonstrate that this proposed algorithm outperforms the classical wavelet-based de-noising method and effectively improves the practicability of this kind of techniques.
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| 关 键 词： | 光谱分析 语言增进 支持向量机 子波 |
| 文章编号： | 1007-1172（2007）02-0190-07 |
| 修稿时间： | 2005-09-05 |
Wavelet De-noising of Speech Using Singular Spectrum Analysis for Decomposition Level Selection |
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| CAI Tie,ZHU Jie.Wavelet De-noising of Speech Using Singular Spectrum Analysis for Decomposition Level Selection[J].Journal of Shanghai Jiaotong university,2007,12(2):190-196. |
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| Authors: | CAI Tie ZHU Jie |
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| Institution: | Dept. of Electronic Eng., Shanghai Jiaotong Univ. , Shanghai 200030, China |
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| Abstract: | The problem of speech enhancement using threshold de-noising in wavelet domain was considered.The appropriate decomposition level is another key factor pertinent to de-noising performance.This paper proposed a new wavelet-based de-noising scheme that can improve the enhancement performance significantly in the presence of additive white Gaussian noise.The proposed algorithm can adaptively select the optimal decomposition level of wavelet transformation according to the characteristics of noisy speech.The experimental results demonstrate that this proposed algorithm outperforms the classical wavelet-based de-noising method and effectively improves the practicability of this kind of techniques. |
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| Keywords: | speech enhancement wavelet de-noising singular spectrum analysis (SSA) support vector machine (SVM) |
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