Audio source separation still remains very challenging in many situations, especially in the undetermined case, when there are fewer observations than sources. This is, in particular, the case of polyphonic music (e.g. with multiple individual sources) recorded in stereo (e.g. 2 channels). In order to improve audio source separation performances, many recent works have followed a so-called informed audio source separation approach, where the separation algorithm relies on some kind of additional information about the sources. The goal of this keynote is to make a comprehensive review of three major trends in informed audio source separation and to illustrate these trends with a number of demonstrative examples.
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