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Informed Audio Source Separation from Compressed Linear Stereo Mixtures

机译:从压缩线性立体声混音中获知音频源分离

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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.
机译:本文介绍了有关有关音乐信号的知情源分离系统(ISS)的新发展。这种系统可以通过基于音频信号自然稀疏性,预混合源信号分析和侧信息嵌入(在混合信号内)来分离I> 2乐器和从线性瞬时静止立体声(2通道)混合物中的声音。 。系统的基础已在未压缩(16位PCM)混合信号的框架内呈现在先前的论文中。在本文中,我们将研究扩展到压缩的混合信号。例如,我们使用MPEG-AAC编解码器,我们展示了ISS流程对压缩非常强大,为可下载音乐的“现实世界”卡拉OK /独奏/重新激活应用程序开辟了道路。

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