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yuyinzhengqiang
- 用减谱法进行语音增强，效果还不错。 读入语音，调整噪声水平即可。-Spectral method used by speech enhancement, the effect was not bad. Read into the voice, the noise level can be adjusted.
SSSPECSUBTp
- 能够进行语音增强处理，运用谱谱减的方法，能够取得较好的效果 -Voice enhancement processing, the use of the spectrum spectral subtraction method can achieve better results
zhuanli_adaptive4ch
- 谱相减 ＋ 波束形成 + 后Wiene滤波 语音增强算法-Spectral subtraction+ beamforming+ the Wiene filtering speech enhancement algorithm
pujianfa
- 基本谱减基础上，对噪声估计做出了改进；有汉语注释；读起来方便-Basic spectral subtraction based on the noise estimation made improvements annotated in Chinese read
pujianfayuyinzengqiang
- 最基本的语音增强，功率谱减和幅度谱减，有注释，方便易读-Most basic speech enhancement, power spectral subtraction and amplitude spectral subtraction, annotated, easy to read
Spectral-subtraction-method
- 谱减法对语音进行处理，用谱相减的方法，实现语音增强。-Spectral subtraction speech processing, speech enhancement
YUYINXINH
- 第7章语音信号的减噪176 7.1自适应滤波器减噪176 7.1.1LMS算法基本原理176 7.1.2基本LMS自适应算法178 7.1.3LMS的自适应陷波器181 7.2谱减法减噪184 7.2.1基本谱减法184 7.2.2改进的谱减法187 7.3维纳滤波法减噪195 7.3.1维纳滤波的基本原理195 7.3.2维纳滤波减噪的具体步骤和函数WienerScalart96197 7.3.3维纳滤波的MATLAB例子1-Noise Chapte
paper4
- 4.新型几何谱减语音增强方法.pdf.很好的论文-4 new geometric spectral subtraction speech enhancement methods. Pdf
spectrum_sub
- spectrum_sub是谱减函数，使用谱减的方法达到降噪的目的，对于一般的平稳信号效果特别好。-Spectrum_sub is spectral subtraction function, using the spectral subtraction method to achieve the purpose of noise reduction, for general stationary signal effect is very good.
L3_answer
- 音频信号处理，实现谱减法降噪，通过将原信号和噪声信号在频谱上相减，再映射回时域，实现降噪功能-Audio signal processing, spectral subtraction noise reduction, through the original signal and the noise signal in the spectrum relative to Save, and then mapped back to the time domain noise reduction f
yelrfiltering
- 自己编写的用谱相减,最小均方和维纳滤波实现语音增强的matlab文件-Write your own using spectrum subtraction, wiener filtering and minimum mean square of speech enhancement matlab files
Signal_enchancer
- 减谱法程序,使用Matlab语音编写，附件中有语音文件(The matlab program of signal enhancer)
实验
- 此代码为传统语音增强算法的对比，包括谱减法、维纳滤波，自适应滤波，适合语音信号初学者使用。(This code is a comparison of traditional speech enhancement algorithms, including spectral subtraction, Wiener filtering, adaptive filtering, suitable for beginners to use voice signals.)