| Open-unmix-a reference implementation for music source separation FR Stöter, S Uhlich, A Liutkus, Y Mitsufuji Journal of Open Source Software 4 (41), 1667, 2019 | 340 | 2019 |
| Improving music source separation based on deep neural networks through data augmentation and network blending S Uhlich, M Porcu, F Giron, M Enenkl, T Kemp, N Takahashi, Y Mitsufuji International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017 | 291 | 2017 |
| Mixed precision DNNs: All you need is a good parametrization S Uhlich, L Mauch, F Cardinaux, K Yoshiyama, JA García, S Tiedemann, ... ICLR 2020, 2020 | 213* | 2020 |
| Deep neural network based instrument extraction from music S Uhlich, F Giron, Y Mitsufuji 2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015 | 160 | 2015 |
| Music demixing challenge 2021 Y Mitsufuji, G Fabbro, S Uhlich, FR Stöter, A Défossez, M Kim, W Choi, ... Frontiers in Signal Processing 1, 808395, 2022 | 112* | 2022 |
| All for one and one for all: Improving music separation by bridging networks R Sawata, S Uhlich, S Takahashi, Y Mitsufuji ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 63 | 2021 |
| Exploring the best loss function for DNN-based low-latency speech enhancement with temporal convolutional networks Y Koyama, T Vuong, S Uhlich, B Raj arXiv preprint arXiv:2005.11611, 2020 | 58 | 2020 |
| Multidimensional localization of multiple sound sources using frequency domain ICA and an extended state coherence transform B Loesch, S Uhlich, B Yang 2009 IEEE/SP 15th Workshop on Statistical Signal Processing, 677-680, 2009 | 35 | 2009 |
| 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 | 27 | 2022 |
| The Sound Demixing Challenge 2023 - Music Demixing Track G Fabbro, S Uhlich, CH Lai, W Choi, M Martínez-Ramírez, W Liao, ... arXiv preprint arXiv:2308.06979, 2023 | 22 | 2023 |
| Iteratively training look-up tables for network quantization F Cardinaux, S Uhlich, K Yoshiyama, JA García, L Mauch, S Tiedemann, ... IEEE Journal of Selected Topics in Signal Processing 14 (4), 860-870, 2020 | 20 | 2020 |
| Method, system and artificial neural network F Cardinaux, M Enenkl, F Giron, T Kemp, S Uhlich US Patent 10,564,923, 2020 | 20 | 2020 |
| 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 | 19 | 2023 |
| Bayes risk reduction of estimators using artificial observation noise S Uhlich IEEE Transactions on Signal Processing 63 (20), 5535-5545, 2015 | 19 | 2015 |
| Multichannel non-negative matrix factorization using banded spatial covariance matrices in wavenumber domain Y Mitsufuji, S Uhlich, N Takamune, D Kitamura, S Koyama, H Saruwatari IEEE/ACM Transactions on Audio, Speech, and Language Processing 28, 49-60, 2019 | 18 | 2019 |
| Improving DNN-based Music Source Separation using Phase Features J Muth, S Uhlich, N Perraudin, T Kemp, F Cardinaux, Y Mitsufuji Joint Workshop on Machine Learning for Music at ICML, IJCAI/ECAI and AAMAS, 2018 | 18 | 2018 |
| 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 | 17* | 2022 |
| Electronic device, method and computer program for active noise control inside a vehicle F Cardinaux, M Enenkl, MF Font, T Kemp, P Putzolu, S Uhlich US Patent 10,650,798, 2020 | 16 | 2020 |
| Signal processing unit employing a blind channel estimation algorithm and method of operating a receiver apparatus B Eitel, J Zinsser, RA Salem, S Uhlich US Patent 9,401,826, 2016 | 14 | 2016 |
| Training speech enhancement systems with noisy speech datasets K Saito, S Uhlich, G Fabbro, Y Mitsufuji arXiv preprint arXiv:2105.12315, 2021 | 13 | 2021 |
Yuki MitsufujiDistinguished Engineer, Sony; Specially Appointed Associate Professor, Tokyo Institute of Technology在 sony.com 的电子邮件经过验证
