MLDSP Papers

This is a curated list of papers related to neural net/machine learning applications in Audio Digital Signal Processing. The purpose of it is to help find useful pieces of information for newcomers

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Papers

• COMMUNITY RTNeural: Fast Neural Inferencing for Real-Time Systems - 2021, Jatin Chowdhury

• Real-Time Modeling of Audio Distortion Circuits with Deep Learning - 2019, by Damskägg, Eero-Pekka; Juvela, Lauri; Välimäki, Vesa

• Real-time guitar amplifier emulation with deep learning - 2020, by Wright, Alec; Damskägg, Eero Pekka; Juvela, Lauri; Välimäki, Vesa

• Perceptual Loss Function for Neural Modelling of Audio Systems - 2020, by Wright, Alec; Välimäki, Vesa

• Neural Modelling of LFO Modulated Time Varying Effects - 2020, by Wright, Alec; Välimäki, Vesa

• Real-time black-box modelling with recurrent neural networks - 2019, by Wright, Alec; Damskägg, Eero-Pekka; Välimäki, Vesa

• Deep Learning for Black-Box Modeling of Audio Effects - 2020, by Marco A. Martínez Ramírez, Emmanouil Benetos and Joshua D. Reiss

• Modelling of nonlinear state-space systems using a deep neural network - 2019, by Julian D. Parker, Fabián Esqueda, André Bergner

• DDSP: Differentiable Digital Signal Processing - 2019, by Jesse Engel, Lamtharn (Hanoi) Hantrakul, Chenjie Gu, Adam Roberts

• GANSynth: Adversarial Neural Audio Synthesis - 2019, by Jesse Engel, Kumar Krishna Agrawal, Shuo Chen, Ishaan Gulrajani, Chris Donahue, & Adam Roberts

• Guitar Effects Recognition and Parameter Estimation with Convolutional Neural Networks - 2020, by Marco Comunità, Dan Stowell, Joshua D. Reiss

• Randomized Overdrive Neural Networks - 2020, by Christian J. Steinmetz, Joshua D. Reiss

• auraloss: Audio-focused loss functions in PyTorch - 2020, by Christian J. Steinmetz, Joshua D. Reiss

• A deep learning approach to sound classification for film audio post-production - 2020, by Guillermo G Peeters, Joshua D Reiss

• Modeling plate and spring reverberation using a DSP-informed deep neural network - 2020, by Marco A. Martínez Ramírez, Emmanouil Benetos, Joshua D. Reiss

• Investigation of a real-time hearing loss simulation for use in audio production - 2020, by Angeliki Mourgela, Trevor R. Agus, and Joshua D. Reiss

• Real-Time Sound Synthesis of Audience Applause - 2020, by J. R. R. Lee and J. D. Reiss

• A Comparison of Virtual Analog Modelling Techniques for Desktop and Embedded Implementations - 2020, by Jatin Chowdhury

• Efficient Neural Networks for Real-time Analog Audio Effect Modeling - 2021, by Christian J. Steinmetz, Joshua D. Reiss

• A Vacuum-Tube Guitar Amplifier Model Using Long/Short-Term Memory Networks (Sci-Hub) - 2018, by Zhichen Zhang; Edward Olbrych; Joseph Bruchalski; Thomas J. McCormick; David L. Livingston

• Real Time Emulation of Parametric Guitar Tube Amplifier With Long Short Term Memory Neural Network - 2018, by Thomas Schmitz, Jean-Jacques Embrechts

• WaveNet: A Generative Model for Raw Audio - 2016, by Aaron van den Oord, Sander Dieleman, Heiga Zen, Karen Simonyan, Oriol Vinyals, Alex Graves, Nal Kalchbrenner, Andrew Senior, Koray Kavukcuoglu

• Real-time Timbre Transfer and Sound Synthesis using DDSP - 2021, by Francesco Ganis, Erik Frej Knudesn, Søren V. K. Lyster, Robin Otterbein, David Südholt, Cumhur Erkut

• Steerable discovery of neural audio effects - 2021, by Christian J. Steinmetz and Joshua D. Reiss

• SignalTrain: Profiling Audio Compressors with Deep Neural Networks - 2019, by Scott H. Hawley, Benjamin Colburn, Stylianos I. Mimilakis

• Neural Parametric Equalizer Matching Using Differentiable Biquads - 2020, Shahan Nercessian, iZotope, Inc.

• Grey Box Modelling of Dynamic Range Compression - 2022, Alec Wright, Vesa Välimäki

• Automatic music mixing with deep learning and out-of-domain data - 2022, Marco A. Martínez-Ramírez, Wei-Hsiang Liao, Giorgio Fabbro, Stefan Uhlich, Chihiro Nagashima, Yuki Mitsufuji

• Fast Temporal Convolutions for Real-Time Audio Signal Processing - 2022, Stepan Miklanek, Jiri Schimmel

• Pruning Deep Neural Network Models of Guitar Distortion Effects - 2022, David Südholt; Alec Wright; Cumhur Erkut; Vesa Välimäki

Links

• DAFx Paper Archive - Machine Learning
• DAFx Paper Archive - Neural Network
• DAFx Paper Archive - Deep Learning

Other lists

• More Awesome Music DSP
• Awesome Audio DSP
• Audio-Plugin-Development-Resources