Then human auditory masking is studied where its characteristic is combined with the multi-band spectral subtraction method.
其次，本文研究了人耳听觉掩蔽特性，并将听觉掩蔽效应应用于多频带谱减的语音增强方法中。
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。
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.
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 array crosstalk resistant adaptive noise cancellation method is therefore presented. And then an improved spectral subtraction algorithm is further cascaded to obtain better enhancement results.
为此给出一种阵列抗串扰自适应噪声抵消方法，并将其与改进的谱相减技术相结合。
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。
In this paper the speech enhancement method based on fuzzy system is discussed in strong background noise, and a comparison is made between this method and the spectral subtraction algorithm.
讨论强背景噪声下的基于模糊系统的语音增强方法，并与减谱法语音增强算法进行比较。
Power spectral subtraction is a traditional method for decreasing noise which easily leads to error by regard fixed silence fragment as noise sample.
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.
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。
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