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Perceptual coding-based informed source separation
Serap Kirbiz, Alexey Ozerov, Antoine Liutkus, Laurent Girin

Perceptual coding-based informed source separation

Science & Mathematics Published 2014 Verification Pending

Overview & Synopsis

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.

Indexed from repository: HAL Open Science (hal.science)
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Document Information

Document Title Perceptual coding-based informed source separation
Author / Organization Serap Kirbiz, Alexey Ozerov, Antoine Liutkus, Laurent Girin
Subject & Discipline Multidisciplinary Academic Open Research
Categories Science & Mathematics
Publication Year 2014
License / Rights Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website HAL Open Science (hal.science)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-211144
Original Source Link Visit Source Page on hal.science »