Girin, LaurentKırbız, SerapOzerov, AlexeyLiutkus, Antoine2019-02-282019-02-282019-02-282019-02-282014Kirbiz, S., Ozerov, A., Liutkus, A., Girin, L., (SEP 01-05, 2014) 22nd European Signal Processing Conference (EUSIPCO). (September 01, 2014). Perceptual coding-based Informed Source Separation. 959-963.2076-1465https://hdl.handle.net/20.500.11779/673##nofulltext##Serap Kırbız (MEF Author)Informed Source Separation (ISS) techniques enable manipulation of the source signals that compose an audio mixture, based on a coder-decoder configuration. Provided the source signals are known at the encoder, a low-bitrate side-information is sent to the decoder and permits to achieve efficient source separation. Recent research has focused on a Coding-based ISS framework, which has an advantage to encode the desired audio objects, while exploiting their mixture in an information-theoretic framework. Here, we show how the perceptual quality of the separated sources can be improved by inserting perceptual source coding techniques in this framework, achieving a continuum of optimal bitrate-perceptual distortion trade-offs.eninfo:eu-repo/semantics/closedAccessInformed source separationSource codingPerceptual modelsConference Object2-s2.0-84911919618N/AN/A963959WOS:000393420200193