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Improved Psychoacoustic Noise Shaping:for Requantization of High-Resolution Digital Audio

机译:改善心理声学噪声整形:用于高分辨率数字音频的要求

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Considering high-resolution, multi-channel audio, it is worth re-examining the concept of psychoacoustically optimized noise shaping to ensure that signal quality is preserved when word-lengths are reduced. In this paper, approaches in static (time-invariant) and signal-adaptive (time-variant) noise shaping are discussed. We identify problems occurring when equal-loudness level contours such as the inverse F-weighting curve are used as a model for noise shaping. As a remedy, we present two alternative time-invariant filter designs. Regarding adaptive requantization, we introduce a noise shaper based on work by Verhelst and De Koning with an improved design of the time-variant filter. The paper concludes with a comparative evaluation based on listening tests with different transducers.
机译:考虑到高分辨率,多通道音频,值得重新检查心理声学优化的噪声整形的概念,以确保在字长减小时保留信号质量。在本文中,讨论了静态(时间不变)和信号 - 自适应(时变)噪声整形的方法。我们确定当诸如逆F加权曲线的等同响度水平轮廓时出现的问题用作噪声整形的模型。作为一个补救措施,我们提供了两个替代时间不变的过滤器设计。关于自适应铭记化,我们通过Verhelst和De Koning介绍了一种基于工作的噪声融合,具有改进的时变滤波器的设计。本文的结论是基于与不同传感器的听力测试的比较评估。

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