Publications

*co-first authorship

2022

Style transfer of audio effects with differentiable signal processing

Christian J. Steinmetz, Nicholas J. Bryan, Joshua D. Reiss
To appear in the Journal of the Audio Engineering Society (JAES). July 2022
[ arXiv ] [ Demo ] [ Code ] [ Video ] [ Slides ]

Efficient neural networks for real-time modeling of analog dynamic range compression

Christian J. Steinmetz and Joshua D. Reiss
152nd Convention of the Audio Engineering Society. May 2022
[ arXiv ] [ Demo ] [ Code ] [ Video ] [ Slides ]

Direct design of biquad filter cascades with deep learning by sampling random polynomials

Joseph T. Colonel*, Christian J. Steinmetz*, Marcus Michelen, Joshua D. Reiss
IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP). May 2022
[ arXiv ] [ Code ] [ Demo ] [ Video ] [ Slides ]

HEAR 2021: Holistic Evaluation of Audio Representations

Joseph Turian, Jordie Shier, Humair Raj Khan, Bhiksha Raj, Björn W. Schuller, Christian J. Steinmetz, Colin Malloy, George Tzanetakis, Gissel Velarde, Kirk McNally, Max Henry, Nicolas Pinto, Camille Noufi, Christian Clough, Dorien Herremans, Eduardo Fonseca, Jesse Engel, Justin Salamon, Philippe Esling, Pranay Manocha, Shinji Watanabe, Zeyu Jin, Yonatan Bisk
Proceedings of Machine Learning Research (PMLR): NeurIPS 2021 Competition Track. March 2022
[ arXiv ] [ Code ] [ Web ] [ Talks ]

2021

Steerable discovery of neural audio effects

Christian J. Steinmetz and Joshua D. Reiss
5th Workshop on Machine Learning for Creativity and Design at NeurIPS. December 2021
[ arXiv ] [ Code ] [ Demo ] [ Video ] [ Slides ]

WaveBeat: End-to-end beat and downbeat tracking in the time domain

Christian J. Steinmetz and Joshua D. Reiss
151st Convention of the Audio Engineering Society. October 2021
[ arXiv ] [ Code ] [ Video ] [ Slides ]

Filtered noise shaping for time domain room impulse response estimation from reverberant speech

Christian J. Steinmetz, Vamsi Krishna Ithapu and Paul Calamia
IEEE Workshop on Applications of Signal Processing to Audio and Acoustics. October 2021
[ arXiv ] [ Demo ] [ Video ] [ Slides ] ( Best Student Paper Award )

pyloudnorm: A simple yet flexible loudness meter in Python

Christian J. Steinmetz and Joshua D. Reiss
150th Convention of the Audio Engineering Society. May 2021
[ PDF ] [ Package ] [ Code ] [ Video ] [ Slides ] [ Blog ]

Automatic multitrack mixing with a differentiable mixing console of neural audio effects

Christian J. Steinmetz, Jordi Pons, Santiago Pascual, Joan Serrà
IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP). June 2021.
[ arXiv ] [ Code ] [ Demo ] [ Video ] [ Slides ]

2020

auraloss: Audio-focused loss functions in PyTorch

Christian J. Steinmetz and Joshua D. Reiss
Digital Music Research Network Workshop (DMRN+15). December 2020.
[ PDF ] [ Code ]

Randomized overdrive neural networks

Christian J. Steinmetz, Joshua D. Reiss
4th Workshop on Machine Learning for Creativity and Design at NeurIPS. December 2020.
[ arXiv ] [ Code ] [ Demo ] [ Talk ] [ Slides ] [ Blog ]

Theses

Learning to mix using neural audio effects in the waveform domain

Christian J. Steinmetz
MSc Thesis, Music Technology Group, Universitat Pompeu Fabra, Barcelona. September 2020.
[ Zenodo ]