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.
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