| Pyroomacoustics: A python package for audio room simulation and array processing algorithms R Scheibler, E Bezzam, I Dokmanić 2018 IEEE international conference on acoustics, speech and signal …, 2018 | 816 | 2018 |
| Fast and stable blind source separation with rank-1 updates R Scheibler, N Ono ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 82 | 2020 |
| Independent vector analysis with more microphones than sources R Scheibler, N Ono 2019 IEEE Workshop on Applications of Signal Processing to Audio and …, 2019 | 79 | 2019 |
| Diffusion-based generative speech source separation R Scheibler, Y Ji, SW Chung, J Byun, S Choe, MS Choi ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 75 | 2023 |
| Raking the cocktail party I Dokmanić, R Scheibler, M Vetterli IEEE journal of selected topics in signal processing 9 (5), 825-836, 2015 | 66 | 2015 |
| A fast Hadamard transform for signals with sublinear sparsity in the transform domain R Scheibler, S Haghighatshoar, M Vetterli IEEE Transactions on Information Theory 61 (4), 2115-2132, 2015 | 45 | 2015 |
| TorchAudio 2.1: Advancing speech recognition, self-supervised learning, and audio processing components for PyTorch J Hwang, M Hira, C Chen, X Zhang, Z Ni, G Sun, P Ma, R Huang, V Pratap, ... 2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), 1-9, 2023 | 42 | 2023 |
| ESPnet-SE++: Speech enhancement for robust speech recognition, translation, and understanding YJ Lu, X Chang, C Li, W Zhang, S Cornell, Z Ni, Y Masuyama, B Yan, ... arXiv preprint arXiv:2207.09514, 2022 | 41 | 2022 |
| FRIDA: FRI-based DOA estimation for arbitrary array layouts H Pan, R Scheibler, E Bezzam, I Dokmanić, M Vetterli 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 35 | 2017 |
| Urgent challenge: Universality, robustness, and generalizability for speech enhancement W Zhang, R Scheibler, K Saijo, S Cornell, C Li, Z Ni, A Kumar, ... arXiv preprint arXiv:2406.04660, 2024 | 32 | 2024 |
| Surrogate source model learning for determined source separation R Scheibler, M Togami ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 32 | 2021 |
| Universal score-based speech enhancement with high content preservation R Scheibler, Y Fujita, Y Shirahata, T Komatsu arXiv preprint arXiv:2406.12194, 2024 | 29 | 2024 |
| SDR—medium rare with fast computations R Scheibler ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 29 | 2022 |
| Fast independent vector extraction by iterative SINR maximization R Scheibler, N Ono ICASSP 2020-2020 IEEE international conference on acoustics, speech and …, 2020 | 29 | 2020 |
| The Fukushima inverse problem M Martinez-Camara, I Dokmanić, J Ranieri, R Scheibler, M Vetterli, ... 2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013 | 24 | 2013 |
| Independent vector analysis via log-quadratically penalized quadratic minimization R Scheibler IEEE Transactions on Signal Processing 69, 2509-2524, 2021 | 23 | 2021 |
| Joint dereverberation and separation with iterative source steering T Nakashima, R Scheibler, M Togami, N Ono ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 22 | 2021 |
| MM algorithms for joint independent subspace analysis with application to blind single and multi-source extraction R Scheibler, N Ono arXiv preprint arXiv:2004.03926, 2020 | 21 | 2020 |
| Sub-sample time delay estimation via auxiliary-function-based iterative updates K Yamaoka, R Scheibler, N Ono, Y Wakabayashi 2019 IEEE Workshop on Applications of Signal Processing to Audio and …, 2019 | 21 | 2019 |
| Spatial loss for unsupervised multi-channel source separation K Saijo, R Scheibler arXiv preprint arXiv:2204.00210, 2022 | 20 | 2022 |
Nobutaka OnoProfessor, Tokyo Metropolitan UniversityVerified email at tmu.ac.jp
