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Odd Challenges of Using Deep Learning in Designing a Feedback Delay Network Reverb - ADC23

  Рет қаралды 555

ADC - Audio Developer Conference

ADC - Audio Developer Conference

Күн бұрын

Join Us For ADC24 - Bristol - 11-13 November 2024
More Info: audio.dev/
@audiodevcon​
Odd Challenges of Designing a Feedback Delay Network Reverb With Deep Learning - Wojciech Kacper Werkowicz & Benjamin Whateley - ADC 2023
Past lustrum have seen the rise of interest in optimization of audio effects and synthesizer parameters in use cases including parameter inference from audio input, as well as approaches for Differentiable Digital Signal Processing (such as Magenta's DDSP). However, there are still notable limitations in the area, exemplified well by the problems posed by some fundamental DSP units such as IIR filters - issues of stability, interpretability and differentiability.
In this talk, we will take on all of the above. It will be done so in the context of a research endeavour into modelling room Impulse Responses using Feedback Delay Network (FDNs). Covering a range of approaches, from naive to more advanced, we will take multiple detours to look into machine learning challenges in context of direct applications to DSP, such as approximating common transformations, tackling computational efficiency, taming the explosivity of feedback systems, at last, hopefully, differentiating the undifferentiable.
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Wojciech Kacper Werkowicz
Programmer, computer musician, improviser from Pruszków, Poland. After being introduced to electronic music by "Ishkur's Guide" in early episode of life, his interest persisted over years. Graduated from Music Computing and Technology BSc program at Goldsmiths in 2023, where he studied under Michael Zbyszynski, Seth Horvitz and Lance Putnam. Currently surveying historical and contemporary digital synthesis methods as a part of his Masters research at Institute of Sonology, The Hague, aiming to critically contextualise synthesis technologies through the lens of sound culture and philosophy. Interested in algorithmic music, machine learning, internet culture. Often enjoys mixing lo-fi technologies with the cutting edge.
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Benjamin Whateley
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Streamed & Edited by Digital Medium Ltd: online.digital...
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Organized and produced by JUCE: juce.com/
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Special thanks to the ADC23 Team:
Sophie Carus
Derek Heimlich
Andrew Kirk
Bobby Lombardi
Tom Poole
Ralph Richbourg
Jim Roper
Jonathan Roper
Prashant Mishra
#adc #deeplearning #dsp #audio

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