首页 | 本学科首页   官方微博 | 高级检索  
     

语音模糊消噪算法
引用本文:姜占才,孙燕.语音模糊消噪算法[J].声学技术,2009,28(5):682-685.
作者姓名:姜占才  孙燕
作者单位:1. 青海师范大学物理系,西宁,810008
2. 青海民族学院计算机科学技术系,西宁,810007
摘    要:针对加性有色噪声,提出了语音信号模糊消噪算法;建立并训练了一个语音模糊消噪系统——自适应神经模糊推理系统(ANFIS);用其对含噪语音中的有色噪声进行模糊估计,从而提取出干净的语音。对算法进行了仿真实验,结果表明,对模拟有色噪声在-17dB时能提取出清晰的语音。

关 键 词:语音信号  有色噪声  白噪声  模糊消噪  自适应神经模糊推理系统
收稿时间:2008/9/5 0:00:00
修稿时间:2008/12/16 0:00:00

Algorithm for fuzzy denoising of speech signal
JIANG Zhan-cai and SUN Yan.Algorithm for fuzzy denoising of speech signal[J].Technical Acoustics,2009,28(5):682-685.
Authors:JIANG Zhan-cai and SUN Yan
Affiliation:Physics Department of Qinghai Normal University, Xining 810008, China;Computer Department of Qinghai University for Nationalities, Xining 810007, China
Abstract:Aiming at additive colored noise, this paper presents a new fuzzy denoising algorithm of speech signal based on the principle of fuzzy inference in fuzzy mathematics. A fuzzy denoising system of speech signal--Auto Neural Fuzzy Inference System (ANFIS) is set up and trained with MATLAB. Colored noise can be successfully removed by using subtraction in the original speech signal, and a fuzzy estimation of colored noise in the speech signal which con-talus noises can be made for extracting clean speech signal. An emulation experiment on the algorithm for different signal to noise ratio has been done, and the results show that the system can extract clean speech signal from the simu-lated colored noise at -17 dB of signal to noise ratio. This proves that the algorithm is very effective.
Keywords:speech signal  colored noise  white noise  fuzzy denoise  Auto Neural Fuzzy Inference System (ANFIS)
本文献已被 维普 万方数据 等数据库收录!
点击此处可从《声学技术》浏览原始摘要信息
点击此处可从《声学技术》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号