In this paper, new developments concerning a system for informed source separation (ISS) of music signals are presented. Such system enables to separate I>2 musical instruments and singing voices from linear instantaneous stationary stereo (2-channel) mixtures, based on audio signal natural sparsity, pre-mix source signal analysis, and side-information embedding (within the mix signal). The foundations of the system have been presented in previous papers, within the framework of uncompressed (16-bit PCM) mix signals. In the present paper, we extend the study to compressed mix signals. For instance, we use a MPEG-AAC codec and we show that the ISS process is quite robust to compression, opening the way for real-world karaoke/soloing/remixing applications for downloadable music.

Authors: Girin, Laurent; Pinel, Jonathan
Affiliation: Grenoble Institute of Technology, Grenoble, France
AES Conference: 42nd International Conference: Semantic Audio (July 2011)
Paper Number: 4-2
Publication Date: July 22, 2011
Subject: Informed Source Separation

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