Reverse engineering of a recording mix with differentiable digital signal processing JT Colonel, J Reiss The Journal of the Acoustical Society of America 150 (1), 608-619, 2021 | 18 | 2021 |
Improving neural net auto encoders for music synthesis J Colonel, C Curro, S Keene Audio Engineering Society Convention 143, 2017 | 18 | 2017 |
Direct design of biquad filter cascades with deep learning by sampling random polynomials JT Colonel, CJ Steinmetz, M Michelen, JD Reiss ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 15 | 2022 |
Reverse engineering memoryless distortion effects with differentiable waveshapers JT Colonel, M Comunità, J Reiss Audio Engineering Society Convention 153, 2022 | 9 | 2022 |
Conditioning autoencoder latent spaces for real-time timbre interpolation and synthesis JT Colonel, S Keene 2020 International Joint Conference on Neural Networks (IJCNN), 1-7, 2020 | 6 | 2020 |
Exploring preference for multitrack mixes using statistical analysis of mir and textual features J Colonel, JD Reiss Audio Engineering Society Convention 147, 2019 | 5 | 2019 |
Approximating ballistics in a differentiable dynamic range compressor J Colonel, JD Reiss Audio Engineering Society Convention 153, 2022 | 4 | 2022 |
Autoencoding Neural Networks as Musical Audio Synthesizers J Colonel The Cooper Union, 2018 | 4 | 2018 |
Reverse Engineering a Nonlinear Mix of a Multitrack Recording JT Colonel, J Reiss Journal of the Audio Engineering Society 71 (9), 586-595, 2023 | | 2023 |
Music Production Behaviour Modelling J Colonel | | 2023 |
Low Latency Timbre Interpolation and Warping using Autoencoding Neural Networks J Colonel, S Keene Audio Engineering Society Convention 149, 2020 | | 2020 |
Autoencoding Neural Networks as Musical Audio Synthesizers J Colonel, C Curro, S Keene 21st International Conference on Digital Audio Effects (DAFx-18), 2018 | | 2018 |