基于谱减法的语音信号降噪改进算法
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摘要
语音是人们进行思维沟通交流的主要桥梁,语音通信处理在现实环境下会受到各种各样的干扰,从受干扰的语音中尽可能地去除噪声,提高语音质量,是目前现代信号处理领域中至关重要的技术之一。引入了谱减法降噪模型,并提出了基于统计量控制递归算法(IMCRA)的改进谱减算法用于非平稳噪声环境下的语音降噪。并选用不同的男声和女声语音,录制真实环境下的非平稳噪声,仿真实验表明改进的谱减算法拥有较好的去噪性能,同时大幅提高了信噪比,改善了语音质量。
Voice is the main bridge for people to communicate with each other.Voice communication processing in the real world will be subject to a variety of interference,from the interference of voice as much as possible to remove noise and improve voice quality,is the field of modern signal processing is one of the most important technology.A spectral subtraction and noise reduction model is introduced,and an improved spectral subtraction algorithm based on statistic control recursive algorithm(IMCRA)is proposed for voice noise reduction in non-stationary noise environment.The simulation results show that the improved spectral subtraction algorithm has better denoising performance,and the signal-to-noise ratio is improved,and the speech quality is improved.
Voice is the main bridge for people to communicate with each other.Voice communication processing in the real world will be subject to a variety of interference,from the interference of voice as much as possible to remove noise and improve voice quality,is the field of modern signal processing is one of the most important technology.A spectral subtraction and noise reduction model is introduced,and an improved spectral subtraction algorithm based on statistic control recursive algorithm(IMCRA)is proposed for voice noise reduction in non-stationary noise environment.The simulation results show that the improved spectral subtraction algorithm has better denoising performance,and the signal-to-noise ratio is improved,and the speech quality is improved.
引文
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[2]芦伟东,杨省伟,周平.EMD算法和Hilbert算法混合的语音信号降噪和提取[J].科技通报,2015:248-251.
[3]李从清,孙立新,龙东.小波变换的语音去噪方法[J].计算机工程与应用,2009(36):149-151,177.
[4]郑成诗,胡笑浒,周翊.基于噪声谱结构特性的谱减法[J].声学学报,2010(2):121-128.
[5]朱建华,田岚.基于谱减法和小波阈值的新型语音降噪算法研究[J].煤炭技术,2013(1):179-181.
[6]万义龙,张天骐,王志朝.基于多频带谱减法的抗噪声语音识别研究[J].电视技术,2013(23):189-193.
[7]刘志坤,唐小明,朱洪伟.基于改进谱减法的语音增强研究[J].计算机仿真,2009(6):375-378.
[8]郭欢.谱减法语音增强[J].价值工程,2010(6):55-56.
[9]孙科伟,李建海,杨海东.一种强噪音环境中的语音端点检测算法[J].电子技术应用,2013(12):142-144.
[10]王琳,李成荣.一种基于自适应谱熵的端点检测改进方法[J],计算机仿真,2010,27(12):373-375.
[11]杨龙,陈建明.语音增强算法及进展[J].电声技术,2015(7):41-45,56.
[12]YU C,HOU C H.Subband spectral-subtraction speech enhancement based on the DFT modulated filter banks[C].2012IEEE 11th International Conference on Signal Processing(ICSP 2012),Institute of E-lectrical and Electronics Engineers,Inc.,2012.
[13]程塨,郭雷,贺胜.一种基于实时噪声估计的改进谱减法[J].计算机科学,2010(11):218-219,228.
[14]周成燕,周强,顾济华.基于约束方差的噪声谱估计算法[J].计算机工程与应用,2012(18):131-135.
[15]GAO L Y,GUO Y F,LI S M,et al.Speech enhancement algorithm based on improved spectral subtraction[C].2009IEEE International Conference on Intelligent Computing and Intelligent Systems(ICIS2009).Institute of E-lectrical and Electronics Engineers,Inc.,2009.