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We propose a source-specific dictionary approach to efficient music representation, and apply it to separation of music signals that coexist with background noise such as speech or environmental sounds. The basic idea is to determine a set of elementary functions, called atoms, that efficiently capture music signal characteristics. There are three steps in the construction of a source-specific dictionary. First, we decompose basic components of musical signals (e.g., musical notes) into a setdoi:10.1109/tasl.2010.2047810 fatcat:rowrslsx3bd6jjkgc2vucn6tgq