TY - GEN
T1 - Informed audio source separation
AU - Richard, Gaël
PY - 2014/1/1
Y1 - 2014/1/1
N2 - 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.
AB - 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.
M3 - Conference contribution
AN - SCOPUS:84904310968
SN - 9781632662842
T3 - Proceedings of the AES International Conference
SP - 298
EP - 299
BT - 53rd AES International Conference 2014
PB - Audio Engineering Society
T2 - 53rd AES International Conference 2014: Semantic Audio
Y2 - 26 January 2014 through 29 January 2014
ER -