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In this work we present a method to perform a complete audiovisual source separation without need of previous information. This method is based on the assumption that sounds are caused by moving structures. Thus, an efficient representation of audio and video sequences allows to build relationships between synchronous structures on both modalities. A robust clustering algorithm groups video structures exhibiting strong correlations with the audio so that sources are counted and located in thedoi:10.1109/icassp.2008.4517991 dblp:conf/icassp/CasanovasMVG08 fatcat:4ezhfgn54rdqxpgtb6dtg5ov5e