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As a primary topic in speaker recognition, speaker identification (SID) aims to identify the underlying speaker(s) given a speech utterance. SID systems perform well under matched training and test conditions. In real-world environments, mismatch caused by background noise, room reverberation or competing voice significantly degrades the performance of such systems. Achieving robustness to the SID systems becomes an important research problem. Existing approaches address this problem fromdoi:10.1109/tasl.2012.2186803 fatcat:5wqehvp5u5hgrm4dr3utrjvs3u