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Collection of papers related to neural nets/machine learning for audio DSP.

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# 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

You can contribute to the list by [opening a issue](https://github.com/GuitarML/mldsp-papers/issues/new?assignees=&labels=paper&template=00-add-paper.md) or forking the repository and [starting a pull request](https://github.com/GuitarML/mldsp-papers/compare)

## Papers

- `COMMUNITY` [`RTNeural: Fast Neural Inferencing for Real-Time Systems`](https://arxiv.org/pdf/2106.03037.pdf) - 2021, Jatin Chowdhury

- [`Real-Time Modeling of Audio Distortion Circuits with Deep Learning`](https://acris.aalto.fi/ws/portalfiles/portal/34352788/ELEC_Damskagg_Real_time_modeling_SMC2019.pdf) - 2019, by Damskägg, Eero-Pekka; Juvela, Lauri; Välimäki, Vesa
- [`Real-time guitar amplifier emulation with deep learning`](https://acris.aalto.fi/ws/portalfiles/portal/41964332/Real_time_guitar_amplifier_emulation.pdf) - 2020, by Wright, Alec; Damskägg, Eero Pekka; Juvela, Lauri; Välimäki, Vesa
- [`Perceptual Loss Function for Neural Modelling of Audio Systems`](https://acris.aalto.fi/ws/portalfiles/portal/43946100/ICASSP_2020_RNN_Loss_Functions.pdf) - 2020, by Wright, Alec; Välimäki, Vesa
- [`Neural Modelling of LFO Modulated Time Varying Effects`](https://acris.aalto.fi/ws/portalfiles/portal/51679961/DAFx2020_paper_49.pdf) - 2020, by Wright, Alec; Välimäki, Vesa
- [`Real-time black-box modelling with recurrent neural networks`](https://acris.aalto.fi/ws/portalfiles/portal/36768418/ELEC_Wright_Real_time_black_box_DAFx2019.pdf) - 2019, by Wright, Alec; Damskägg, Eero-Pekka; Välimäki, Vesa
- [`Deep Learning for Black-Box Modeling of Audio Effects`](https://www.mdpi.com/2076-3417/10/2/638/htm) - 2020, by Marco A. Martínez Ramírez, Emmanouil Benetos and Joshua D. Reiss
- [`Modelling of nonlinear state-space systems using a deep neural network`](https://dafx.de/paper-archive/2019/DAFx2019_paper_42.pdf) - 2019, by Julian D. Parker, Fabián Esqueda, André Bergner
- [`DDSP: Differentiable Digital Signal Processing`](https://openreview.net/pdf?id=B1x1ma4tDr) - 2019, by Jesse Engel, Lamtharn (Hanoi) Hantrakul, Chenjie Gu, Adam Roberts
- [`GANSynth: Adversarial Neural Audio Synthesis`](https://openreview.net/pdf?id=H1xQVn09FX) - 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`](https://arxiv.org/pdf/2012.03216) - 2020, by Marco Comunità, Dan Stowell, Joshua D. Reiss
- [`Randomized Overdrive Neural Networks`](https://arxiv.org/pdf/2010.04237) - 2020, by Christian J. Steinmetz, Joshua D. Reiss
- [`auraloss: Audio-focused loss functions in PyTorch`](https://www.eecs.qmul.ac.uk/~josh/documents/2020/DMRN15__auraloss__Audio_focused_loss_functions_in_PyTorch.pdf) - 2020, by Christian J. Steinmetz, Joshua D. Reiss
- [`A deep learning approach to sound classification for film audio post-production`](https://www.eecs.qmul.ac.uk/~josh/documents/2020/20739.pdf) - 2020, by Guillermo G Peeters, Joshua D Reiss
- [`Modeling plate and spring reverberation using a DSP-informed deep neural network`](https://arxiv.org/pdf/1910.10105) - 2020, by Marco A. Martínez Ramírez, Emmanouil Benetos, Joshua D. Reiss
- [`Investigation of a real-time hearing loss simulation for use in audio production`](https://www.eecs.qmul.ac.uk/~josh/documents/2020/20906.pdf) - 2020, by Angeliki Mourgela, Trevor R. Agus, and Joshua D. Reiss
- [`Real-Time Sound Synthesis of Audience Applause`](https://www.eecs.qmul.ac.uk/~josh/documents/2020/20732.pdf) - 2020, by J. R. R. Lee and J. D. Reiss
- [`A Comparison of Virtual Analog Modelling Techniques for Desktop and Embedded Implementations`](https://arxiv.org/pdf/2009.02833.pdf) - 2020, by Jatin Chowdhury
- [`Efficient Neural Networks for Real-time Analog Audio Effect Modeling`](https://arxiv.org/pdf/2102.06200.pdf) - 2021, by Christian J. Steinmetz, Joshua D. Reiss
- [`A Vacuum-Tube Guitar Amplifier Model Using Long/Short-Term Memory Networks`](https://ieeexplore.ieee.org/document/8479039) ([Sci-Hub](https://sci-hub.do/10.1109/SECON.2018.8479039#)) - 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`](https://arxiv.org/pdf/1804.07145.pdf) - 2018, by Thomas Schmitz, Jean-Jacques Embrechts
- [`WaveNet: A Generative Model for Raw Audio`](https://arxiv.org/abs/1609.03499) - 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`](https://arxiv.org/abs/2103.07220) - 2021, by Francesco Ganis, Erik Frej Knudesn, Søren V. K. Lyster, Robin Otterbein, David Südholt, Cumhur Erkut
- [`Steerable discovery of neural audio effects`](https://arxiv.org/abs/2112.02926) - 2021, by Christian J. Steinmetz and Joshua D. Reiss
- [`SignalTrain: Profiling Audio Compressors with Deep Neural Networks`](https://arxiv.org/pdf/1905.11928.pdf) - 2019, by Scott H. Hawley, Benjamin Colburn, Stylianos I. Mimilakis
- [`Neural Parametric Equalizer Matching Using Differentiable Biquads`](https://dafx2020.mdw.ac.at/proceedings/papers/DAFx2020_paper_7.pdf) - 2020, Shahan Nercessian,
iZotope, Inc.
- [`Grey Box Modelling of Dynamic Range Compression`](https://dafx2020.mdw.ac.at/proceedings/papers/DAFx20in22_paper_35.pdf) - 2022, Alec Wright, Vesa Välimäki
- [`Automatic music mixing with deep learning and out-of-domain data`](https://arxiv.org/abs/2208.11428) - 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`](https://www.dafx.de/paper-archive/2022/papers/DAFx20in22_paper_43.pdf) - 2022, Stepan Miklanek, Jiri Schimmel
- [`Pruning Deep Neural Network Models of Guitar Distortion Effects`](https://ieeexplore.ieee.org/document/9954902/references#references) - 2022, David Südholt; Alec Wright; Cumhur Erkut; Vesa Välimäki

## Links

- [**DAFx Paper Archive** - Machine Learning](http://www.dafx.de/paper-archive/search.php?q=machine%20learning&years=2016%2C2017%2C2018%2C2019%2C2020%2C2021%2C2022)
- [**DAFx Paper Archive** - Neural Network](http://www.dafx.de/paper-archive/search.php?q=neural&years=2016%2C2017%2C2018%2C2019%2C2020%2C2021%2C2022)
- [**DAFx Paper Archive** - Deep Learning](http://www.dafx.de/paper-archive/search.php?q=deep&years=2016%2C2017%2C2018%2C2019%2C2020%2C2021%2C2022)

## Other lists

- [`More Awesome Music DSP`](https://github.com/olilarkin/awesome-musicdsp)
- [`Awesome Audio DSP`](https://github.com/BillyDM/Awesome-Audio-DSP/blob/main/README.md)
- [`Audio-Plugin-Development-Resources`](https://github.com/jareddrayton/Audio-Plugin-Development-Resources)

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