Randomized Overdrive Neural Networks. - Christian J. Steinmetz; Joshua D. Reiss (CoRR, 2020)

Automatic Multitrack Mixing With A Differentiable Mixing Console Of Neural Audio Effects. - Christian J. Steinmetz; Jordi Pons; Santiago Pascual; Joan Serrà (ICASSP, 2021)

HEAR: 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; et al. (NeurIPS (Competition and Demos), 2021)

Filtered Noise Shaping for Time Domain Room Impulse Response Estimation from Reverberant Speech. - Christian J. Steinmetz; Vamsi Krishna Ithapu; Paul Calamia (WASPAA, 2021)

Efficient Neural Networks for Real-time Analog Audio Effect Modeling. - Christian J. Steinmetz; Joshua D. Reiss (CoRR, 2021)

WaveBeat: End-to-end beat and downbeat tracking in the time domain. - Christian J. Steinmetz; Joshua D. Reiss (CoRR, 2021)

Steerable discovery of neural audio effects. - Christian J. Steinmetz; Joshua D. Reiss (CoRR, 2021)

Direct Design of Biquad Filter Cascades with Deep Learning by Sampling Random Polynomials. - Joseph T. Colonel; Christian J. Steinmetz; Marcus Michelen; Joshua D. Reiss (ICASSP, 2022)

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; et al. (CoRR, 2022)

Style Transfer of Audio Effects with Differentiable Signal Processing. - Christian J. Steinmetz; Nicholas J. Bryan; Joshua D. Reiss (CoRR, 2022)

Modelling Black-Box Audio Effects with Time-Varying Feature Modulation. - Marco Comunità; Christian J. Steinmetz; Huy Phan; Joshua D. Reiss (ICASSP, 2023)

General Purpose Audio Effect Removal. - Matthew Rice; Christian J. Steinmetz; George Fazekas; Joshua D. Reiss (WASPAA, 2023)

Leveraging Neural Representations for Audio Manipulation. - Scott H. Hawley; Christian J. Steinmetz (CoRR, 2023)

Modulation Extraction for LFO-driven Audio Effects. - Christopher Mitcheltree; Christian J. Steinmetz; Marco Comunità; Joshua D. Reiss (CoRR, 2023)

High-Fidelity Noise Reduction with Differentiable Signal Processing. - Christian J. Steinmetz; Thomas Walther; Joshua D. Reiss (CoRR, 2023)

ST-ITO: Controlling Audio Effects for Style Transfer With Inference-Time Optimization. - Christian J. Steinmetz; Shubhr Singh; Marco Comunità; Ilias Ibnyahya; Shanxin Yuan; Emmanouil Benetos; Joshua D. Reiss (ISMIR, 2024)

Diff-MST: Differentiable Mixing Style Transfer. - Soumya Sai Vanka; Christian J. Steinmetz; Jean-Baptiste Rolland; Joshua D. Reiss; George Fazekas (ISMIR, 2024)

Modeling Analog Dynamic Range Compressors using Deep Learning and State-space Models. - Hanzhi Yin; Gang Cheng; Christian J. Steinmetz; Ruibin Yuan; Richard M. Stern; Roger B. Dannenberg (CoRR, 2024)

ATGNN: Audio Tagging Graph Neural Network. - Shubhr Singh; Christian J. Steinmetz; Emmanouil Benetos; Huy Phan; Dan Stowell (IEEE Signal Process. Lett., 2024)

NablAFx: A Framework for Differentiable Black-box and Gray-box Modeling of Audio Effects. - Marco Comunità; Christian J. Steinmetz; Joshua D. Reiss (CoRR, 2025)

Differentiable Black-box and Gray-box Modeling of Nonlinear Audio Effects. - Marco Comunità; Christian J. Steinmetz; Joshua D. Reiss (CoRR, 2025)