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自适应语音抵消算法，用于语音增强，和语音降噪。开发环境matlab-Adaptive Speech cancellation algorithm for speech enhancement, noise reduction and voice. Matlab development environment
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语言处理过程中的端点检测，频谱分析，加重及去噪增强处理的MATLAB源程序和结果，语音文件改成自己的即可（采样点匹配）。-Language processing, endpoint detection, spectrum analysis, emphasis and de-noising and enhancement results of the MATLAB source code, voice files can be changed to your own (matched sample
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国际上最新的说话人识别算法的源程序，内置语音训练数据-The latest international speaker recognition algorithm source code, built-in voice training data
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该程序是卡曼滤波法在语音处理上的应用,能有效的去除噪声,达到语音增强的目的!-The program is Kaman filtering method in the voice processing application, can effectively remove the noise, to achieve the purpose of speech enhancement!
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该程序是基于子空间的语音去噪声,该方法使用广泛,能取得很好的语音增强效果!-The program is based on the sub-space of the voice to noise, the method widely used and can achieve very good speech enhancement effect!
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基于谱减法的语音端点检测，运用了语音增强，去噪，谱减，加窗，端点检测等方法-Spectral subtraction based speech endpoint detection, using a speech enhancement, denoising, minus spectrum, add windows, endpoint detection methods such as
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语音端点检测，以及基于短时能量的语音增强的减谱法，matlab文件。-Voice activity detection, as well as short-term energy-based speech enhancement by spectral method, matlab file.
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语音信号增强处理解说，实现语音信号的增强-Speech signal enhancement processing explanations of the enhanced voice signal
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语音增强是影响语音识别系统性能的重要成分。为了比较语音增强算法的性能，采用Matlab软件进行了数值仿真，对不同噪声环境下的语音用3种不同的方法进行降噪，采用信噪比、端点检测等方法来降噪效果，并对几种增强算法的性能进行了比较分析。结果表明，在变噪声环境下短时谱MMSE法最佳，谱减法和维纳滤波法各有优点。-Speech enhancement of voice recognition is an important component of system performance. In order
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语音信号去噪，在MATLAB开发环境下，对含噪声的语音信号进行卡尔曼滤波，实现语音增强的功能。-The voice signal denoising, the Kalman filter, the noisy speech signal in the MATLAB development environment
Wave, speech enhancement.
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matlab实现的传统语音降噪声使用的谱减增强算法，含有维纳滤波算法，请大家参考学习。(Matlab implementation of the traditional voice reduced noise spectrum enhancement algorithm, contains Wiener filtering algorithm, please refer to the study.)
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