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Perceptual coding-based informed source separation

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.
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https://hal.inria.fr/hal-01016314
Contributor : Alexey Ozerov <>
Submitted on : Monday, June 30, 2014 - 12:46:45 AM
Last modification on : Thursday, July 9, 2020 - 5:02:04 PM
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  • HAL Id : hal-01016314, version 1

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Serap Kırbız, Alexey Ozerov, Antoine Liutkus, Laurent Girin. Perceptual coding-based informed source separation. 22nd European Signal Processing Conference (EUSIPCO-2014), Sep 2014, Lisbonne, Portugal. ⟨hal-01016314⟩

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