| 基于最小统计和人耳掩蔽特性的语音增强算法 |
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| 引用本文： | 吕勇,周琳. 基于最小统计和人耳掩蔽特性的语音增强算法[J]. 电声技术, 2013, 0(12): 57-60,69 |
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| 作者姓名： | 吕勇 周琳 |
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| 作者单位： | [1]河海大学计算机与信息学院,江苏南京210098 [2]东南大学信息科学与工程学院,江苏南京210096 |
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| 基金项目： | [基金项目]现代信息科学与网络技术北京市重点实验室资助课题（XDXX1308） |
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| 摘 要： | 提出了一种基于最小统计和人耳掩蔽特性的语音增强算法，通过最优平滑和最小约束递归平均从含噪语音中估计噪声的均值，推导出一种新的基于掩蔽特性的谱减系数计算公式。实验结果表明，该算法优于传统的掩蔽特性算法，含噪语音经过增强后，残留的音乐噪声更小。
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| 关 键 词： | 最小统计 掩蔽特性 语音增强 谱减法 |
Speech Enhancement Algorithm Based on Minimum Statistics and Human Auditory Masking Properties |
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| LU Yong,ZHOU Lin. Speech Enhancement Algorithm Based on Minimum Statistics and Human Auditory Masking Properties[J]. Audio Engineering, 2013, 0(12): 57-60,69 |
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| Authors: | LU Yong ZHOU Lin |
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| Affiliation: | 1. College of Computer and Information Engineering, Hohai University, Nanjing 210098, China; 2. School of Information Science and Engineering, Southeast University, Nanjing 210096, China) |
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| Abstract: | A speech enhancement algorithm based on minimum statistics and human auditory masking properties is pro- posed. The mean vector of the noise spectrum is estimated from the noisy speech by optimal smoothing and minima controlled reeursive averaging. Then a novel estimation formula using masking properties for the spectral subtraction eoeffieients is giv- en. The experiment results show that the proposed algorithm is better than traditional masking algorithm and the enhanced speech has less musical noise. |
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| Keywords: | minimum statistics masking properties speech enhancement spectral subtraction method |
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