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https://hdl.handle.net/20.500.11779/673
Title: | Perceptual Coding-Based Informed Source Separation | Authors: | Girin, Laurent Kırbız, Serap Ozerov, Alexey Liutkus, Antoine |
Keywords: | Informed source separation Source coding Perceptual models |
Source: | Kirbiz, 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. | Abstract: | 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. | Description: | ##nofulltext## Serap Kırbız (MEF Author) |
URI: | https://hdl.handle.net/20.500.11779/673 | ISSN: | 2076-1465 |
Appears in Collections: | Endüstri Mühendisliği Bölümü Koleksiyonu Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection |
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