文章摘要
姜占才,孙燕.语音模糊消噪算法[J].声学技术,2009,(5):682~685
语音模糊消噪算法
Algorithm for fuzzy denoising of speech signal
投稿时间:2008-09-05  修订日期:2008-12-16
DOI:
中文关键词: 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
英文关键词: speech signal  colored noise  white noise  fuzzy denoise  Auto Neural Fuzzy Inference System(ANFIS)
基金项目:
作者单位E-mail
姜占才 青海师范大学物理系, 西宁, 810008 243740714@qq.com 
孙燕 青海民族学院计算机科学技术系, 西宁, 810007  
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中文摘要:
      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。
英文摘要:
      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-tains 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.
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