然后将此方法用于多信源少观测源情况下的混合语音信号分离。
The second, it uses this method to blind speech signals separation of more sources than sensors.
实验结果证明了该算法能够有效用于高维情况下多信源少观测源的盲语音信号分离。
Results of the experiment show that the method is effective for blind speech signals separation.
介绍了ICA的原理、含义及EASI算法，并仿真了该算法在语音信号盲分离中的应用。
This paper presents the principle, definition and EASI algorithm of ica, and describes the application of the algorithm in the field of speech signal processing.
语音分离的研究在语音通信、声学目标检测、声音信号增强等方面有着重要的理论意义和实用价值。
Separation of speech in voice communications, acoustic target detection, sound signal enhancement, and so has important theoretical significance and practical value.
针对语音信号的弱稀疏性，提出一种新的基于混合矩阵估计的欠定语音盲分离方法。
This paper proposes a new method based on mixing matrix estimation for underdetermined blind speech separation, aiming at speech signals under weak sparseness.
利用CTRANC抑制干扰信号的特性及语音信号的短时稳定性，借助最优控制相关理论，得到了新的语音分离方法及其自适应滤波迭代步长的计算公式。
Based on the CTRANC characteristic of suppressing the interfering signal and stability in short-term of speech signal, an adaptive speech separation algorithm based on the CTRANC system comes out.
研究了实际环境语音信号的特性，结合语音信号的短时平稳性和长时非平稳性，给出了一种时频域盲分离算法。
Investigation characteristic of real world audio, combine stationary for short time-scale and non-stationary for longer time-scales, proposed a time frequency domain blind source separation algorithm.
盲信号分离系统可以采集真实语音信号，然后使用不同的盲信号分离算法分离。
Blind signal separation system can capture the true voice signals and use a different algorithm to separate.
由于语音信号是准周期的非平稳信号 ，因此按频带对含噪语音信号实现信噪分离是语音消噪的?。
Thus the noise parts during the frequency intervals that decrease hearing quality mostly are reduced efficiently, and the SNR of denoised speech are increased.
由于语音信号是准周期的非平稳信号 ，因此按频带对含噪语音信号实现信噪分离是语音消噪的?。
Thus the noise parts during the frequency intervals that decrease hearing quality mostly are reduced efficiently, and the SNR of denoised speech are increased.
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