Ensemble Models for Spoofing Detection in Automatic Speaker Verification B Chettri, D Stoller, V Morfi, MA Martinez Ramirez, E Benetos, BL Sturm arXiv preprint arXiv:1904.04589, 2019 | 95 | 2019 |
End-to-end equalization with convolutional neural networks MA Martinez Ramirez, JD Reiss 21st International Conference on Digital Audio Effects (DAFx-18), 2018 | 54 | 2018 |
Modeling nonlinear audio effects with end-to-end deep neural networks MA Martinez Ramirez, JD Reiss IEEE International Conference on Acoustics, Speech, and Signal Processing …, 2019 | 52* | 2019 |
Deep Learning for Black-Box Modeling of Audio Effects MA Martinez Ramirez, E Benetos, JD Reiss Applied Sciences 10 (2), 638, 2020 | 51 | 2020 |
Differentiable Signal Processing With Black-Box Audio Effects MA Martinez Ramirez, O Wang, P Smaragdis, NJ Bryan ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 32 | 2021 |
A general-purpose deep learning approach to model time-varying audio effects MA Martinez Ramirez, E Benetos, JD Reiss 22nd International Conference on Digital Audio Effects (DAFx-19), 2019 | 23* | 2019 |
A Deep Learning Approach to Intelligent Drum Mixing with the Wave-U-Net MA Martinez Ramirez, D Moffat, D Stoller Audio Engineering Society, 2021 | 20 | 2021 |
Automatic music mixing with deep learning and out-of-domain data MA Martínez-Ramírez, WH Liao, G Fabbro, S Uhlich, C Nagashima, ... arXiv preprint arXiv:2208.11428, 2022 | 14 | 2022 |
Automatic DJ transitions with differentiable audio effects and generative adversarial networks BY Chen, WH Hsu, WH Liao, MAM Ramírez, Y Mitsufuji, YH Yang ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 14 | 2022 |
The sound demixing challenge 2023–music demixing track G Fabbro, S Uhlich, CH Lai, W Choi, M Martínez-Ramírez, W Liao, ... Ubiquity Press 7 (1), 2024 | 9 | 2024 |
Music mixing style transfer: A contrastive learning approach to disentangle audio effects J Koo, MA Martínez-Ramírez, WH Liao, S Uhlich, K Lee, Y Mitsufuji ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 9 | 2023 |
Modeling plate and spring reverberation using a DSP-informed deep neural network MA Martinez Ramirez, E Benetos, J Reiss IEEE International Conference on Acoustics, Speech, and Signal Processing …, 2020 | 9* | 2020 |
Deep Learning and Intelligent Audio Mixing MA Martinez Ramirez, JD Reiss 3rd Workshop on Intelligent Music Production, 2017 | 9* | 2017 |
Stem Audio Mixing as a Content-Based Transformation of Audio Features MA Martinez Ramirez, JD Reiss IEEE 19TH International Workshop on Multimedia Signal Processing (MMSP), 2017 | 8 | 2017 |
Distortion audio effects: Learning how to recover the clean signal J Imort, G Fabbro, MAM Ramírez, S Uhlich, Y Koyama, Y Mitsufuji arXiv preprint arXiv:2202.01664, 2022 | 6 | 2022 |
AMSS-Net: Audio Manipulation on User-Specified Sources with Textual Queries W Choi, M Kim, MA Martinez Ramirez, J Chung, S Jung arXiv preprint arXiv:2104.13553, 2021 | 6 | 2021 |
Deep Learning for Audio Effects Modeling MA Martinez Ramirez Queen Mary University of London., 2021 | 6 | 2021 |
Time-varying and nonlinear audio processing using deep neural networks MAM RAMIREZ, JD Reiss, E Benetos US Patent App. 17/924,701, 2023 | 4 | 2023 |
Deep learning for automatic mixing CJ Steinmetz, SS Vanka, MAM Ramırez, G Bromham Proceedings of the 23rd International Society for Music Information …, 2022 | 4 | 2022 |
Removing distortion effects in music using deep neural networks J Imort, G Fabbro, MAM Ramírez, S Uhlich, Y Koyama, Y Mitsufuji arXiv preprint arXiv:2202.01664, 2022 | 3 | 2022 |