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Frequency-domain source identification and manipulation in stereo mixes for enhancement, suppression and re-panning applications

机译:立体声混音中的频域源识别和处理,用于增强,抑制和重新平移应用

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We describe a frequency-domain framework for source identification, separation and manipulation in stereo music recordings. Based on a simplified model of the stereo mix, we describe how a similarity measure between the short-time Fourier transforms (STFT) of the input signals is used to identify time-frequency regions occupied by each source based on the panning coefficient assigned to it during the mix. Individual sources are identified and manipulated by clustering the time-frequency components with a given panning coefficient. After modification, an inverse STFT is used to synthesize a time-domain processed signal. We describe applications of the technique in source suppression, enhancement and re-panning.
机译:我们描述了用于立体声音乐录制中的源识别,分离和操作的频域框架。基于立体声混音的简化模型,我们描述输入信号的短时傅立叶变换(STFT)之间的相似性度量如何基于分配给它的声像系数来识别每个信号源所占用的时频区域在混合过程中。通过将时频分量与给定的平移系数进行聚类,可以识别和处理各个源。修改后,逆STFT用于合成时域处理后的信号。我们描述了该技术在源抑制,增强和重新平移中的应用。

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