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Description: 对数谱最小均方误差语音增强算法（LSA-MMSE），对加入有音无音判决进一步提高信噪比，消噪效果非常好。适合各种平稳噪声。-right spectrum minimum mean square error speech enhancement algorithm (LSA- MMSE). sound right to a sound judgment without further improve signal-to-noise ratio, denoising effect was very good. For a wide range of stationary noise.
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Author: yaohua |
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Description: 语音增强算法，基于LsA-MMSE方法，并对其先验信噪比估计器进行了修改，具体过程参看Isal的论文。语音间隙间的音乐噪声也消除了。-speech enhancement algorithms, based on LsA- MMSE, and signal-to-noise ratio of its prior estimate for the changes, See specific process Isal theses. Voice gap between the music also eliminate the noise.
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Author: yaohua |
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Description: mmse改进的算法，关于语音增强的更进一步的算法-MMSE improved algorithm, with regard to the further speech enhancement algorithm
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Size: 3489792 |
Author: rch |
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Description: 语音增强算法mmse-logsa,主要原理可参考EPHRAIM,85的文献，-Speech Enhancement Algorithm mmse-logsa, may refer to the main tenets of EPHRAIM, 85 the literature,
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Size: 3072 |
Author: tang |
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Description: 语音信号处理，MMSE降噪3合1，matlab源码，上传时间2008年5月26日-Speech Signal Processing, MMSE Noise Reduction 3-1, matlab source code, the upload time May 26, 2008
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Size: 10240 |
Author: 意乱 |
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Description: 一种目前最适用的语音增强算法，已经证实他的可懂度最好-The most applicable to a speech enhancement algorithm, has confirmed his best intelligibility
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Size: 3072 |
Author: 张强 |
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Description: 经典的基于MMSE的语音增强matlab代码-Based on the classic MMSE Speech Enhancement matlab code
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Size: 3072 |
Author: 刘开文 |
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Description: 利用Y.Ephraim提出的短时谱幅值最小均方误差法估算的语音增强法，附有相应程序和文献。-Y. Ephraim proposed the use of short-term amplitude spectrum MMSE Speech Enhancement Estimating law, with the corresponding procedures and documentation.
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Size: 1476608 |
Author: 宋知用 |
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Description: 利用Y.Ephraim提出的对数谱幅值最小均方误差法估算的语音增强法，附有相应程序和文献。-Y. Ephraim proposed use of spectrum amplitude MMSE Speech Enhancement Estimating law, with the corresponding procedures and documentation.
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Size: 370688 |
Author: 宋知用 |
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Description: 基于短时谱估计的语音增强研究，包括谱减法，维纳滤波和MMSE的介绍，很详细。-Based on the short-time spectral estimation of speech enhancement research, including spectral subtraction, Wiener filter and the MMSE introduction in great detail.
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Size: 456704 |
Author: 童话 |
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Description: 语音增强利用最小均方误差短时谱幅度估计，英文文献，很好的外文资料。-Speech enhancement using MMSE short time spectral amplitude estimation, English literature, foreign language, good information.
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Size: 184320 |
Author: 童话 |
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Description: 最小均方误差估计（MMSE）语音增强算法，算法简单有效，无残余音乐噪声-Minimum mean square error estimation (MMSE) speech enhancement algorithm is simple and effective, non-residual musical noise
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Size: 1024 |
Author: lixiaofei |
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Description: 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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Size: 1024 |
Author: 花剑 |
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Description: 最小局方误差的语音增强方法，MMSE的最原始应用方法，比较经典的哦入门算法-Minimum error of the Bureau of speech enhancement, MMSE application of the most primitive methods, comparing the classic Introduction to Algorithms oh
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Author: david |
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Description: 基于Matlab的一MMSE的噪声PSD的执行跟踪的语音增强算法。这个包是一所描述的算法实现在“基于MMSE的低噪声PSD的跟踪与复杂性”，由理查德亨德里克斯，理查德Heusdens和Jesper詹森，IEEE国际会议声学，语音和信号处理，03/2010，达拉斯，德克萨斯州，p.4266 - 4269，（2010年）。
该算法具有较低的复杂性，但能够准确地估计非平稳的延迟相当低噪声PSD的跟踪噪声。-Matlab implementation of an MMSE based noise PSD tracking algorithm for speech enhancement. This package is an implementation of the algorithm described in "MMSE BASED NOISE PSD TRACKING WITH LOW COMPLEXITY", by Richard C. Hendriks, Richard Heusdens and Jesper Jensen, IEEE International Conference on Acoustics, Speech and Signal Processing, 03/2010, Dallas, TX, p.4266-4269, (2010).
The algorithm has rather low complexity, but is able to accurately estimate the noise PSD for non-stationary noise with rather low tracking delay.
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Size: 342016 |
Author: zaaa |
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Description: 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 to compare the performance of speech enhancement algorithm using the Matlab software, a numerical simulation, speech under different noise environments with 3 different methods of noise reduction, the use of signal to noise ratio, endpoint detection method to the noise reduction effect, and a few kinds of enhanced performance of the algorithm were compared. The results show that changing the noise environment in the MMSE method was the best short-term spectrum, spectral subtraction and Wiener filtering methods have their advantages.
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Size: 376832 |
Author: static |
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Description: 使用matlab对基于高斯模型下的获取幅度估计的语音增强算法进行的仿真，效果较维纳算法和谱减算法有一定的改善。-Use matlab Gaussian model based on the estimated rate of access to speech enhancement algorithm for the simulation, the effect is less than the Wiener algorithm and the spectral algorithm has some improvement.
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Size: 1024 |
Author: 王 |
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Description: 本程序为经典MMSE方法，引自Y. Ephraim and D.Malah “Speech enhancement using a minimum mean-square error short-time spectral amplitude estimator-Ephraim and D.Malah “Speech enhancement using a minimum mean-square error short-time spectral amplitude estimator
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Size: 2048 |
Author: 张丽 |
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Description: 语音增强经典MMSE算法，出自loizou speech enhancement-speech enhancement algorithm MMSE from loizou s book 《speech enhancement》
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Size: 2048 |
Author: 盛世佳 |
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Description: 基于最小均方误差估计(mmse)的语音增强算法的研究的相关资料，期刊，论文-Based on the minimum mean square error estimation (mmse) speech enhancement algorithm relevant information, journals, papers
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Author: zxf |
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