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作 者:樊一帆[1] 张丽丹[2] FAN Yi-fan;ZHANG Li-dan(Henan Institute of Science and Technology,Xinxiang Henan 453003,China;Henan Normal University,Xinxiang Henan 453003,China)
机构地区:[1]河南科技学院,河南新乡453003 [2]河南师范大学,河南新乡453003
出 处:《计算机仿真》2023年第11期433-436,474,共5页Computer Simulation
基 金:2022年河南新兴文化工程文化研究专项项目-后非遗保护时代曲艺传承模式研究—以河南坠子为例(2022XWH247)。
摘 要:由于强噪环境中存在大量的冗余信号和噪声信号,且噪声信号种类繁杂,影响信号降噪效果,为此提出基于谱减法的录音数字音频信号降噪方法。建立联合稀疏录音数字音频信号重构模型,根据目标函数得出含噪信号与正常信号的峰值变化规律。为了降低算法误差,引入交叉项估计法对长时信噪比和瞬时信噪比实施交叉替代,使算法在低、高噪声环境下都能实现高效适应。以谱减法降噪理念,分别计算含有和不含有噪声的频谱密度值,求解得到二者间的相位差值,通过差值剔除噪声信号,实现高效降噪。仿真结果表明,所提方法所需运算量较少,去噪效率更高,在不同噪声环境中均能完成精准降噪,且不会破坏原始信号细节,实用价值较高。Due to the existence of a large number of redundant signals and noise signals in a strong noise environ-ment,and the variety of noise signals,the effect of signal noise reduction is affected.Therefore,a noise reduction method for recorded digital audio signals based on spectral subtraction is proposed.A joint sparse recorded digital au-dio signal reconstruction model is established,and according to the objective function,the peak change law of the noisy signal and the normal signal is obtained.In order to reduce the algorithm error,the cross-term estimation meth-od is introduced to implement cross-substitution for the long-term SNR and the instantaneous SNR,so that the algo-rithm can achieve efficient adaptation in low and high-noise environments.Based on the concept of spectral subtrac-tion noise reduction,the spectral density values with and without noise are calculated respectively,and the phase difference between the two is obtained by solving.The noise signal is eliminated by the difference value to achieve ef-ficient noise reduction.The simulation results show that the proposed method requires less computation and higher de-noising efficiency.It can achieve accurate noise reduction in different noise environments without destroying the details of the original signal,and has high practical value.
关 键 词:谱减法 录音数字音频信号 联合稀疏 瞬时信噪比 频谱密度值
分 类 号:TP391.9[自动化与计算机技术—计算机应用技术]
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