| Exploring speech recognition, translation, and understanding with discrete speech units: A comparative study X Chang, B Yan, K Choi, JW Jung, Y Lu, S Maiti, R Sharma, J Shi, J Tian, ... ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | 27 | 2024 |
| Spatial Loss for Unsupervised Multi-channel Source Separation K Saijo, R Scheibler arXiv preprint arXiv:2204.00210, 2022 | 18 | 2022 |
| Toward Universal Speech Enhancement For Diverse Input Conditions W Zhang, K Saijo, ZQ Wang, S Watanabe, Y Qian 2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), 1-6, 2023 | 12 | 2023 |
| Remix-Cycle-Consistent Learning on Adversarially Learned Separator for Accurate and Stable Unsupervised Speech Separation K Saijo, T Ogawa ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 9 | 2022 |
| Self-Remixing: Unsupervised Speech Separation VIA Separation and Remixing K Saijo, T Ogawa ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 8 | 2023 |
| Independence-based Joint Dereverberation and Separation with Neural Source Model K Saijo, R Scheibler arXiv preprint arXiv:2110.06545, 2021 | 5* | 2021 |
| Unsupervised Training of Sequential Neural Beamformer Using Coarsely-separated and Non-separated Signals. K Saijo, T Ogawa INTERSPEECH, 251-255, 2022 | 3 | 2022 |
| TF-Locoformer: Transformer with Local Modeling by Convolution for Speech Separation and Enhancement K Saijo, G Wichern, FG Germain, Z Pan, JL Roux arXiv preprint arXiv:2408.03440, 2024 | 2 | 2024 |
| PARIS: Pseudo-AutoRegressIve Siamese Training for Online Speech Separation Z Pan, G Wichern, FG Germain, K Saijo, J Le Roux Proc. Interspeech, 2024 | 2 | 2024 |
| A Single Speech Enhancement Model Unifying Dereverberation, Denoising, Speaker Counting, Separation, And Extraction K Saijo, W Zhang, ZQ Wang, S Watanabe, T Kobayashi, T Ogawa 2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), 1-6, 2023 | 2 | 2023 |
| Remixing-based Unsupervised Source Separation from Scratch K Saijo, T Ogawa arXiv preprint arXiv:2309.00376, 2023 | 2 | 2023 |
| Enhanced Reverberation as Supervision for Unsupervised Speech Separation K Saijo, G Wichern, FG Germain, Z Pan, JL Roux arXiv preprint arXiv:2408.03438, 2024 | 1 | 2024 |
| 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 | 1 | 2024 |
| Beyond Performance Plateaus: A Comprehensive Study on Scalability in Speech Enhancement W Zhang, K Saijo, J Jung, C Li, S Watanabe, Y Qian arXiv e-prints, arXiv: 2406.04269, 2024 | 1 | 2024 |
| Leveraging Audio-Only Data for Text-Queried Target Sound Extraction K Saijo, J Ebbers, FG Germain, S Khurana, G Wichern, JL Roux arXiv preprint arXiv:2409.13152, 2024 | | 2024 |
| Exploring Speech Enhancement for Low-resource Speech Synthesis Z Ni, S Popuri, N Dong, K Saijo, X Zhang, GL Lan, Y Shi, V Chandra, ... arXiv preprint arXiv:2309.10795, 2023 | | 2023 |
| Design of Discriminators in GAN-Based Unsupervised Learning of Neural Post-Processors for Suppressing Localized Spectral Distortion R Ogino, K Saijo, T Ogawa 2022 Asia-Pacific Signal and Information Processing Association Annual …, 2022 | | 2022 |
| Unsupervised Training of Sequential Neural Beamformer Using Blindly-separated and Non-separated Signals K Saijo, T Ogawa IEICE Technical Report; IEICE Tech. Rep. 122 (81), 110-115, 2022 | | 2022 |
| Comparative Study on DNN-based Minimum Variance Beamforming Robust to Small Movements of Sound Sources K Saijo, K Katagiri, M Fujieda, T Kobayashi, T Ogawa 2021 Asia-Pacific Signal and Information Processing Association Annual …, 2021 | | 2021 |
Tetsuji OgawaWaseda UniversityVerified email at pcl.cs.waseda.ac.jp
