[1]张宝琳 张玲华 林志敏.基于多分辨率小波阈值去噪的晌度补偿方法[J].计算机技术与发展,2012,(12):83-86.
　ZHANG Bao-lin,ZHANG Ling-hua,LIN Zhi-min.A Loudness Compensation Method Based on Muitiresolution Wavelet Threshold Denoising[J].,2012,(12):83-86.
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基于多分辨率小波阈值去噪的晌度补偿方法()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2012年12期
页码:
83-86
栏目:
智能、算法、系统工程
出版日期:
1900-01-01

文章信息/Info

Title:
A Loudness Compensation Method Based on Muitiresolution Wavelet Threshold Denoising
文章编号:
1673-629X（2012）12-0083-04
作者:
张宝琳 张玲华 林志敏
南京邮电大学
Author(s):
ZHANG Bao-lin;  ZHANG Ling-hua;  LIN Zhi-min
Nanjing University of Posts ＆ Telecommunications
关键词:
多分辨率分解与重构; 小波阈值去噪; 响度补偿; 增益控制
Keywords:
multi-resolution analysis and reconstruction ;  wavelet threshold denoising;  loudness compensation;  gain control
分类号:
TP31
文献标志码:
A
摘要:
进行多通道响度补偿时构建数字滤波器比较繁琐，并且产生的噪声不易消除，在增强了语音的同时，噪声也被放大。为了解决这些问题，文中提出利用小波阈值去噪和多分辨率分析的方法在小波域对消噪后信号进行响度补偿，并且对补偿后的声强进行控制，最后利用小波的完美重构特性对信号进行重构。一方面小波多分辨率分析能够满足多通道响度补偿对频带的非等宽划分，并且小波的闽值去噪可以有效防止噪声的放大；另一方面直接在小波域对补偿后声强进行控制，可以使声强始终处于听觉的舒适域内。经实验仿真，达到理想的效果
Abstract:
It is complex to construct digital filter to reaiize multi-bands loudness compention. Also, the noise will be amplified when en hance person＇s voice because the noise is hard to eliminate. In this paper the method of using wavelet threshold denoising and multi-resolution analysis will be used to compensate the loudness of voice and control the gain of intensity of voice. At last,reconstruct the signal u sing new wavelet coefficients. On the one hand, multi-resolution analysis of wavelet can meet the requirement of dividing different band width easily, also, it can avoid the noise amplification effectively by setting a thread of wavelet. On the other hand, using wavelet can con trol the gain of voice in wavelet domain directly and make the intensity of voice comfortable to listeners. According to experiment and simulation, it can achieve the ideal effectively

相似文献/References:

[1]林杰 孙淑霞 文武.基于粒子群优化算法的图像小波阈值去噪研究[J].计算机技术与发展,2007,(04):204.
　LIN Jie,SUN Shu-xia,WEN Wu.An Image Denoising Method Based on Wavelet Transform and Particle Swarm Optimization[J].,2007,(12):204.
[2]高婉贞,张玲华. 基于小波阈值去噪的麦克风阵列语音增强方法[J].计算机技术与发展,2014,24(10):144.
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[3]李晓飞,邱晓晖. 基于小波变换的改进软阈值图像去噪算法[J].计算机技术与发展,2016,26(05):76.
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[4]文小方,张玲华,高婉贞. 基于小波去噪的自适应波束形成算法研究[J].计算机技术与发展,2017,27(06):169.
　WEN Xiao-fang,ZHANG Ling-hua,GAO Wan-zhen. Investigation on Adaptive Beamforming Algorithm with Wavelet Denoising[J].,2017,27(12):169.

备注/Memo

备注/Memo:
国家自然科学基金资助项目（60872105）;江苏省“青蓝工程”中青年学术带头人课题;江苏省高校优势学科建设工程（PAPD）资助项目张宝琳（1986-），男，硕士研究生，研究方向为语肯信号处理；张玲华，博士，教授，研究方向为语音信号处理
更新日期/Last Update: 1900-01-01