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Perceptual Evaluation of Source Separation for Remixing Music

机译:音乐混音源分离的感知评估

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Music remixing is difficult when the original multitrack recording is not available. One solution is to estimate the elements of a mixture using source separation. However, existing techniques suffer from imperfect separation and perceptible artifacts on single separated sources. To investigate their influence on a remix, five state-of-the-art source separation algorithms were used to remix six songs by increasing the level of the vocals. A listening test was conducted to assess the remixes in terms of loudness balance and sound quality. The results show that some source separation algorithms are able to increase the level of the vocals by up to 6 dB at the cost of introducing a small but perceptible degradation in sound quality.
机译:当原始的多轨录音不可用时,很难进行音乐混音。一种解决方案是使用源分离来估计混合物的元素。然而,现有技术遭受不完美的分离和在单个分离的源上可感知的伪像的困扰。为了研究它们对混音的影响,使用了五种最先进的信号源分离算法,通过提高人声水平来混音六首歌曲。进行了听力测试,以评估响度平衡和声音质量方面的混音。结果表明,某些音源分离算法可以将声音水平提高多达6 dB,但代价是音质会出现微小但可察觉的下降。

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