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基于噪声短时谱动态估计的语音增强谱减算法
引用本文:李银国,薛雯,徐洋.基于噪声短时谱动态估计的语音增强谱减算法[J].重庆邮电学院学报(自然科学版),2010(2).
作者姓名:李银国  薛雯  徐洋
作者单位:重庆邮电大学自动化学院;
基金项目:重庆市科委重大科技攻关项目(2008AA6002);;电子信息产业化发展基金(工信部财[2008]355号)~~
摘    要:针对谱减法增强语音后残留音乐噪声明显,影响语音清晰度的问题,在分析现有的噪声谱减算法基本特性的基础上,提出一种基于噪声短时谱动态估计的语音降噪方法。通过估计噪声短时功率谱及其变化趋势,动态调整谱减法中的过减系数,有效抑制残留噪声。仿真实验表明,新的谱减算法在提高语音信噪比的同时保持较小的失真度,具有较好的增强效果。

关 键 词:语音识别  语音增强算法  噪声短时谱估计  谱减法  过减系数  

Spectral subtraction algorithm for speech enhancement based on dynamic estimation of noise short-time spectrum
LI Yin-guo,XUE Wen,XU Yang.Spectral subtraction algorithm for speech enhancement based on dynamic estimation of noise short-time spectrum[J].Journal of Chongqing University of Posts and Telecommunications(Natural Sciences Edition),2010(2).
Authors:LI Yin-guo  XUE Wen  XU Yang
Institution:College of Automation;Chongqing University of Posts and Telecommunications;Chongqing 400065;P.R.China
Abstract:In order to reduce musical noise in spectral subtraction method and improve the intelligibility of enhanced speech,the basic characteristics of exiting spectral subtraction were analyzed.A noise-robust method based on dynamic estimation of noise short-time spectrum was proposed.Over-subtraction of spectral subtraction could be modified dynamically to suppress residual noise effectively by estimating noise short-time power spectrum and its trends.Experimental results show that the new spectral subtraction al...
Keywords:speech recognition  speech enhancement algorithm  noise short-time spectrum estimation  spectral subtraction method  over-subtraction factor  
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