Joint algorithm for permutation problem in frequency-domain blind speech source separation
联合频域盲语音分离排序算法

A new method for solving the permutation problem in the frequency-domain Blind Source Separation (BSS) was presented. This new method divided the whole frequency-domain into three sections and applied different permutation algorithms to different sections. The neighboring frequency correlation and harmonic frequency correlation coefficient of signal amplitudes were used together for the low-frequency section, the direction of arrival estimation for speech sources for the mid-frequency section, and the combination of correlation coefficient comparison and direction estimation for the high-frequency section, respectively. Experimental results show that the new method provides a more robust and precise solution to the permutation problem than the algorithm only with interfrequency correlation coefficient of signal amplitudes or only with direction of arrival estimation for sources.