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Automatic Mixing Level Balancing Enhanced Through Source Interference Identification

机译:通过源干扰识别增强自动混音电平平衡

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It has been well established that equal loudness normalisation can produce a perceptually appropriate level balance in an automated mix. Previous work assumes that each captured track represents an individual sound source. In the context of a live drum recording this assumption is incorrect. This paper will demonstrate approach to identify the source interference and adjust the source gains accordingly, to ensure that tracks are all set to equal perceptual loudness. The impact of this interference on the selected gain parameters and resultant mixture is highlighted.
机译:公认的是,相等的响度归一化可以在自动混音中产生感觉上合适的音量平衡。先前的工作假定每个捕获的轨道代表一个单独的声源。在现场鼓录制的情况下,此假设是不正确的。本文将演示识别信号源干扰并相应调整信号源增益的方法,以确保将音轨都设置为相等的感知响度。突出显示了此干扰对所选增益参数和所得混合信号的影响。

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