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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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Noise estimation for speech enhancement
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用于speech enhancement的经典噪声估计源代码完整，可直接使用。-Classical speech enhancement for noise estimation complete source code can be used directly.
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快速、精确频率估计算法，噪声情况下语音信号频率估计-Fast, accurate frequency estimation algorithm, the case of speech noise frequency estimation
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音频处理算法：语音增强技术是语音信号处理技术中的一门关键技术，本例是一种较为经典的用来估计噪声的算法程序，其实现较为简单，便于初学者学习，改程序已经通过仿真实验，并且实验结果用在方便哦的论文中。-Speech Enhancement technology is voice signal processing technology in a key technology, in this case is a more classical algorithm used to estimate the
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An Automatic Gain Controller (AGC) for speech signals embedded in additive noise requires Voice Activity
Detection (VAD) to avoid noise amplification, a peak level detector for computing gain, and a gain
controller for adjusting gain. This paper
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马丁噪声估计算法,多用于谱减法，基于统计模型等语音增强算法中。-martin noise estimation，Used for spectral subtraction, based on statistical models, such as speech enhancement algorithm.
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This file is used to calculate the MSE of ESPRIT algorithm for DOA estimation. Rao, B.D.; Hari, K.V.S., "Performance analysis of ESPRIT and TAM in determining the direction of arrival of plane waves in noise," Acoustics, Speech and Signal P
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语音信号的采集与处理，数字信号处理课设，感应双馈发电机系统的仿真，ML法能够很好的估计信号的信噪比。- Acquisition and Processing of the speech signal, digital signal processing class-based, Simulation of doubly fed induction generator system, ML estimation method can be a good signal to noise ratio.
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模式识别中的bayes判别分析算法，语音信号的采集与处理，数字信号处理课设，ML法能够很好的估计信号的信噪比。- Pattern Recognition bayes discriminant analysis algorithm, Acquisition and Processing of the speech signal, digital signal processing class-based, ML estimation method can be a good signal to n
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This paper proposes a new variant of the least square autoregressive (LSAR) method for speech reconstruction, which can estimate
via least squares a segment of missing samples by applying the linear
prediction (LP) model of speech. First, we show t
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这是目前传统单通道语音增强中效果最好的算法，作者Iseal Cohen大神,采用基于最小均方误差MMSE准则，代码里，噪声估计由最初的MCRA更新为效果更好的IMCRA。(This is the most effective algorithm for traditional single channel speech enhancement. The author, Iseal Cohen great God, uses the minimum mean square error MMSE c
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IMCRA(Improved?Minima Controlled Recursive Averaging，IMCRA)，它们虽然保证了噪声谱估计的准确性，但在追踪带噪语音平滑功率谱最小值时采用了固定时间窗，因此，在噪声突变的情况下，估计的噪声谱存在很长的延时。(IMCRA, Although they ensure the accuracy of noise spectrum estimation, they use a fixed time window to track the minimu
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