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A VQ-Based Single-Channel Audio Separation for Music/Speech Mixtures

机译:基于VQ的音乐/语音混合单声道音频分离

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In this paper, we address the problem of audio source separation with one single sensor, based on estimation of statistical model of the sources. We improve the-state-of the art vector quantization (VQ) by considering apriori histograms of huge training data. This will result in a more accurate codebook for each source in contrast to the commonly used Linde-Buzo-Gray (LBG) algorithm. An optimum estimator is introduced in separation stage based on discrete fourier transform (DFT) amplitudes. Finally, conducting different simulations it is demonstrated that proposed approach efficiently segregated audio mixtures in terms of signal to distortion ratio (SDR) measures as well as mean opinion score (MOS) criterion.
机译:在本文中,我们基于对音源的统计模型的估计,解决了一个传感器与音源分离的问题。我们通过考虑大量训练数据的先验直方图来改进最新的矢量量化(VQ)。与常用的Linde-Buzo-Gray(LBG)算法相比,这将为每个源生成更准确的密码本。在分离阶段,基于离散傅立叶变换(DFT)幅度引入了最佳估计器。最后,进行了不同的仿真,结果表明,所提出的方法可以有效地隔离音频混合,包括信噪比(SDR)度量以及平均意见评分(MOS)准则。

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