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Article . 2023
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Algorithms for Roughness Control Using Frequency Shifting and Attenuation of Partials in Audio

Authors: Hyrkas, Jeremy;

Algorithms for Roughness Control Using Frequency Shifting and Attenuation of Partials in Audio

Abstract

Though synthesis algorithms frequently use parameters to change the produced sound, it is not always the case that these parameters have a direct (or intuitive) correlation to the change made to the perceptual attributes - the more meaningful sound descriptors for the listener and/or musician. In this work we explore two strategies by which a perceptual descriptor, roughness, can be parameterized directly on a scale, much like how interactive sound allows for control of pitch and/or loudness. Here, roughness (often tied to dissonance) is controlled by changing either the frequency or amplitude of partials that lie within a critical band. Audio examples are provided to demonstrate use in audio mixing, sound (re)synthesis and audio effects, with two implementations made available: one for offline use and another for real-time interactive synthesis using Max/MSP.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average