结合零阶和一阶分析与拉格朗日多项式减少实时串联造粒中的伪影

Dario Sanfilippo, Julian Parker
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引用次数: 1

摘要

提出了一种矩形窗实时颗粒处理中信号不连续和拼接伪影的处理方法。通过结合过零同步性、一阶导数分析和拉格朗日多项式,我们可以产生具有最小低阶导数不连续的不相关和不重叠的声音片段流。由此产生的开源算法,用Faust语言实现,为动态循环、波状振荡和颗粒化提供了一个多功能的实时软件,减少了矩形窗口造成的伪影,并且没有在颗粒处理中常用的重叠加一技术造成的伪影。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Combining Zeroth and First-Order Analysis with Lagrange Polynomials to Reduce Artefacts in Live Concatenative Granulation
This paper presents a technique addressing signal discontinuity and concatenation artefacts in real-time granular processing with rectangular windowing. By combining zero-crossing synchronicity, first-order derivative analysis, and Lagrange polynomials, we can generate streams of uncorrelated and non-overlapping sonic fragments with minimal low-order derivatives discontinuities. The resulting open-source algorithm, implemented in the Faust language, provides a versatile real-time software for dynamical looping, wavetable oscillation, and granulation with reduced artefacts due to rectangular windowing and no artefacts from overlap-add-to-one techniques commonly deployed in granular processing.
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