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We present a novel method for predominant vocal pitch detection in two-channel polyphonic music. The proposed method contains two stages. In the first stage, we apply the Frequency Domain Independent Component Analysis (FD-ICA) for the two-channel polyphonic music to separate the vocal content from the background music. Considering the vocal singing voice and background music are two heterogeneous signals, we employ a statistical learning based method to solve the permutation inconsistencydoi:10.1109/icme.2006.262664 dblp:conf/icmcs/ShaoXK06 fatcat:l3wj777oine2hhx7srsubzub6e