摘 要：介绍了改进谱减法的原理及算法。
Absrtact: In this paper, the theory and algorithm of the improved spectral subtraction are presented.
非参数方法：如谱减法，自我调节过滤器等。
Parameter Method: such as Wiener filter, Comb filter, Kalman filter and so on.
提出了一个基于最小统计及谱减法的语音增强方法。
In this paper, a speech enhancement approach using minimum estimate and spectral subtraction is proposed.
第二阶段，提出了经过修改的谱减法算法，用于提取房颤信号。
Then, a modified spectral subtraction approach was proposed to extract the atrial fibrillation signal.
算法提高了谱减法的适用范围，还在一般谱相减方法的基础上提出了改进的谱相减算法。
The application range of the spectral subtraction is expanded by the new noise estimation method.
算法提高了谱减法的适用范围，还在一般谱相减方法的基础上提出了改进的谱相减算法。
An improved non-linear spectral subtraction algorithm is also put forward. The application range of the spectral subtraction is expanded by the new noise estimation method.
本文提出了基于谱熵和谱减法相结合的带噪语音端点检测改进算法以及端点检测的判决准则。
In this paper, we propose a new approach based on spectral entropy and spectral subtraction for noisy speech endpoint detection, and discriminative rules with robustness.
针对语音识别中的加性噪声进行研究，提出了动态自适应多模板谱减法和多模板谱加训练补偿法。
This paper proposes two methods for speech recognition under the additive noise environment, namely dynamic adaptation multi model spectral subtraction and multi model spectral addition.
功率谱减法是一种传统的降噪方法。 但是功率谱减法采用固定的无音片段作为噪声样本容易引起误差。
Power spectral subtraction is a traditional method for decreasing noise which easily leads to error by regard fixed silence fragment as noise sample.
在去噪算法上本文重点研究了谱减法及其改进形式、STSA - MMSE去噪算法，用MATLAB工具仿真了这些算法。
About denoising algorithm this paper researches focused on Spectral Subtraction algorithm and improved form, STSA-MMSE algorithm, using MATLAB tool to simulate these algorithms.
在感知加权处理中充分利用了人耳的掩蔽效应，设计了感知加权滤波器，对谱减法增强后的语音进行滤波，进一步消除残余噪声。
And in perceptual weighting stage, auditory masking effect is used. A perceptual weighting filter is designed to filter the enhanced speech by spectral subtraction so as to remove residual noise.
主要以谱减法为基础，结合人耳的听觉特性从而减少残留“音乐噪声”的影响；结合语音的语谱在时-频域分布特性从而提高增强后语音的听觉质量。
This paper studies the speech enhancement technology, and proposes an improved spectral subtraction method based on the auditory characteristics and the speech spectrum characteristics.
主要以谱减法为基础，结合人耳的听觉特性从而减少残留“音乐噪声”的影响；结合语音的语谱在时-频域分布特性从而提高增强后语音的听觉质量。
It reduces the "music noise" using the human auditory characteristics, and enhances the hearing quality using the speech spectrum distribution characteristics in the time-frequency dimension.
在去噪算法上本文重点比较了谱相减法、LOGSTSA-MMSE与子空间方法。
The comparison of threes methods, spectral subtraction, LOGSTSA-MMSE and subspace approach, is the major work in researching the noise reduction algorithm.
实验结果表明，噪声残差消除谱相减法明显地削弱了一般谱相减法所带来的“音乐”噪声。
The experiment results show that this improved method weakens the "music" noise distinctly. Whats more, it notably improves the quality of noisy speech.
实验结果表明，噪声残差消除谱相减法明显地削弱了一般谱相减法所带来的“音乐”噪声。
The experiment results show that this improved method weakens the "music" noise distinctly. Whats more, it notably improves the quality of noisy speech.
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