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We describe a novel approach for developing realistic digital models of dynamic range compressors for digital audio production by analyzing their analog prototypes.
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Jussi Pekonen and Vesa Välimäki, · 2011
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B Series, · 2014
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“Virtual Analog Modeling of Audio Circuitry using Wave Digital Filters,”
Kurt James Werner, · 2016
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Kevin Kilgour, Mauricio Zuluaga, Dominik Roblek, and Matthew Sharifi Google, · 2018
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“Real-time black-box modelling with recurrent neural networks,”
Alec Wright, Eero-Pekka Damskägg, Vesa Välimäki, and others, · 2019
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“auraloss: Audio focused loss functions in PyTorch,”
Christian J Steinmetz and Joshua D Reiss, · 2020
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Alec Wright and Vesa Valimaki, · 2020
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“Automatic multitrack mixing with a differentiable mixing console of neural audio effects,”
Christian J. Steinmetz, Jordi Pons, Santiago Pascual, and Joan Serrà, · 2021
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“Efficient neural networks for real-time modeling of analog dynamic range compression,”
Christian J. Steinmetz and Joshua D. Reiss, · 2021
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“Efficiently Modeling Long Sequences with Structured State Spaces,”
Albert Gu, Karan Goel, and Christopher Ré, · 2021
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“Grey-box modelling of dynamic range compression,”
Alec Wright, Vesa Välimäki, and others, · 2022
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