Perceptual coding-based informed source separation

Serap Kırbız 1 Alexey Ozerov 2 Antoine Liutkus 3 Laurent Girin 1
1 GIPSA-MAGIC - MAGIC
GIPSA-DPC - Département Parole et Cognition
3 PAROLE - Analysis, perception and recognition of speech
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
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
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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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