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实验结果表明该算法对非冲击噪声效果良好。
lx_main为主程序，NS_lxwz为噪声估计模块，lxG_wz为增益估计模块，noise_sound为测试用含噪语音。
算法原理参见本人的文章《一种引入延迟的语音增强算法》。-Experimental results show that the algorithm for non-impulsive noise effect is good. lx_main the main program, NS_lxwz for the noise es
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这个是语音信号处理里面的基于MMSE的谱减法增强处理程序，此种方法是我见过消除噪声最好的！-This is the speech signal processing inside the MMSE-based spectral subtraction to enhance handling procedures, this method is the elimination of noise, the best I' ve ever seen!
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MATLAB环境下对于含平稳噪声的带噪语音利用谱相减算法进行处理，原始语音请命名为“origin.wmv"，处理后的语音为”enhanced.wmv"。rar内含有我自己做好的语音处理结果，可以用你自己的待处理语音替换它们，请放在同一目录下！-MATLAB environment containing stationary noise for Noisy Speech using spectral subtraction algorithm for processing, the origina
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自己编的，基于自适应噪声对消的语音增强新算法-Own, based on adaptive noise cancellation of the new algorithm for speech enhancement
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自己编的谱减语音增强谱减算法程序，带噪语音按帧处理的，利用寂静帧的语音段来估计噪声。-Own spectrum minus minus algorithm for spectral speech enhancement procedure of Noisy Speech by the frame of the treatment, the use of silence the voice frame to estimate the noise above.
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自己编的程序，自适应噪声对消语音增强，参考噪声与输入噪声是相关的情况。-Own procedures, Adaptive Noise Cancellation of Speech Enhancement, reference noise and input noise are relevant.
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本程序是对语音信号去除噪声。MATLAB编写-This procedure is a speech signal to remove noise. MATLAB prepared
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Segmental Signal-to-Noise Ratio Objective Speech Quality Measure
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Based on the spectrum of the vuvuzela sound, this denoising technique simply computes an antenuation map in the time-frequency domain. Then, the audio signal is restored by computing the inverse STFT. See [1] or [2] for more detail about the algorith
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语音端点检测，有助于除去语音信号中的噪音部分，留下有用的携带信息的部分，有利于提取其中有用的语音特征参数，从而提高识别率。-Endpoint detection, helps remove the noise part of the speech signal, leaving useful information-bearing part, is conducive to extract the speech feature useful to improve the recognition
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• Plot the noisy speech signal both in time-domain and frequency-domain.
• 进行含噪语音信号的时频分析
• Design a proper filter to remove noise from the speech signal.
• 设计合适滤波器进行去噪
• Plot the clean signal both in time-domain
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使用维纳滤波、谱减法和自适应滤波法在matlab环境下实现语音降噪处理的源代码，并实现了GUI用户图形界面设置，参数可调。-Using Wiener filtering, spectral subtraction and adaptive filtering in matlab environment voice noise reduction processing source code, and implement a GUI graphical user interface setting
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利用mcra的方法对噪声功率谱估计达到语音增强的目的-estimate the spectrum of the noise in order to enhance the SNR of the speech
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用三级小波变换实现的语音信号去噪处理的MATLAB源程序，去噪效果很好-Use level 3 wavelet transform of the realization of the speech signal to deal with the noise MATLAB source, denoising the effect is very good
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利用matlab读入语音信号，加入噪声后滤波，并演示效果-Matlab reading the speech signal, filtering, and demonstrate the effect of the added noise
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FIR低通滤波器设计，运行通过，通过改变滤波器参数，可以得到不同阶数的滤波器，加有随机噪声的语音信号通过滤波器后会有很大改善。-FIR low-pass filter design, to run through, can be obtained by varying the filter parameters, the number of filters of different orders, and added with the random noise of the speech sig
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包括语音的录制程序，加噪程序，以及标准的噪声库，还有用谱减法实现带噪语言信号的增强等程序-ncluding voice recording program, noise procedures, and standards of noise library, as well as achieve the noisy speech signal enhancement using spectral subtraction procedure
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制一段个人自己的语音信号，并画出该信号的时域波形和频谱图；再录制一段同样长时间的背景噪声叠加（加法叠加）到语音信号中，分析叠加前后信号频谱的变化；设计一个合适的滤波器，把改造生滤除；最后回放语音信号。(peech signal processing for a period of one's own, and draw the signal time-domain waveform and frequency spectrum; background noise superimposed and
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基于MATLAB GUI 设计的数字信号处理系统，可以实现基本的信号生成，信号分析和信号滤波以及简单的语音信号处理等功能。其中信号生成模块可实现正弦波、方波、三角波、高斯白噪声、chrip信号的生成和叠加；信号分析模块支持基本的傅氏变换下的频域分析功能；信号滤波模块可以实现数字低通、高通、带通、带阻下的切比雪夫、巴特沃思、椭圆滤波器的设计和滤波处理；语音信号处理模块可以实现音频文件的读取、播放、叠加噪声、滤波等功能。(Based on MATLAB GUI design of digital s
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to add cross-talk noise to speech
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