| 一种分层阈值优化的语音感知小波去噪方法 |
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| 引用本文： | 曹斌芳,彭光含,彭元杰,黎小琴.一种分层阈值优化的语音感知小波去噪方法[J].湖南文理学院学报(自然科学版),2014(2):35-39. |
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| 作者姓名： | 曹斌芳 彭光含 彭元杰 黎小琴 |
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| 作者单位： | 湖南文理学院物理与电子科学学院 |
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| 基金项目： | 湖南省科技计划资助项目(2010SK3052);光电信息集成与光学制造技术湖南省重点实验室资助项目;湖南文理学院重点学科建设项目(无线电物理) |
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| 摘 要： | 通过分析含噪语音信号的特点,引入能够兼顾人耳听觉特性的听觉感知小波变换,构造了新的小波阈值函数,并对小波变换分解后的阈值进行基于微粒群算法的分层优化.仿真实验表明,该方法在不同信噪比条件下均具有较好的去噪性能,语音的可懂度和听觉效果得到有效提高.
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| 关 键 词： | 语音去噪 听觉感知小波变换 分层阈值 微粒群算法 |
Speech de-noising algorithm of perception wavelet transform based on hierarchical threshold optimization |
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| CAO BinFang;PENG GuangHan;PENG YuanJie;LI XiaoQin.Speech de-noising algorithm of perception wavelet transform based on hierarchical threshold optimization[J].Journal of Hunan University of Arts and Science:Natural Science Edition,2014(2):35-39. |
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| Authors: | CAO BinFang;PENG GuangHan;PENG YuanJie;LI XiaoQin |
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| Institution: | CAO BinFang;PENG GuangHan;PENG YuanJie;LI XiaoQin;College of Physics and Electronics Science,Hunan University of Arts and Science; |
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| Abstract: | By analyzing the characteristic of noisy speech signals,audio perception wavelet transform was introduced,which considered human auditory effect.New wavelet threshold function was constructed and hierarchical optimization was performed based on particle swarm optimization algorithm after wavelet transform.Simulation indicated that the proposed method had a good de-noising effect under circumstances of different signal-noise-ratio（SNR）,improved speech intelligibility and auditory effect. |
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| Keywords: | speech de-noising auditory perception wavelet transform Hierarchical threshold particle swarm optimization |
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