Deep Learning for Audio Effects Modeling (2020)
Abstract / truncated to 115 words
Audio effects modeling is the process of emulating an audio effect unit and seeks to recreate the sound, behaviour and main perceptual features of an analog reference device. Audio effect units are analog or digital signal processing systems that transform certain characteristics of the sound source. These transformations can be linear or nonlinear, time-invariant or time-varying and with short-term and long-term memory. Most typical audio effect transformations are based on dynamics, such as compression; tone such as distortion; frequency such as equalization; and time such as artificial reverberation or modulation based audio effects. The digital simulation of these audio processors is normally done by designing mathematical models of these systems. This is often difficult because ... toggle 15 keywordsdeep learning – audio effects – audio effects modeling – virtual analog – neural networks – digital emulation – nonlinear – distortion – plate – spring – reverberation – modulation – leslie speaker – tube – time-varying audio effect
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