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 | 37 | 2024 |
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 | 19 | 2023 |
Spatial Loss for Unsupervised Multi-channel Source Separation K Saijo, R Scheibler arXiv preprint arXiv:2204.00210, 2022 | 18 | 2022 |
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 | 7* | 2021 |
TF-Locoformer: Transformer with local modeling by convolution for speech separation and enhancement K Saijo, G Wichern, FG Germain, Z Pan, J Le Roux 2024 18th International Workshop on Acoustic Signal Enhancement (IWAENC …, 2024 | 4 | 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 | 4 | 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 | 4 | 2023 |
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 | 3 | 2024 |
PARIS: Pseudo-AutoRegressIve Siamese Training for Online Speech Separation Z Pan, G Wichern, FG Germain, K Saijo, J Le Roux Proc. Interspeech, 2024 | 3 | 2024 |
Unsupervised Training of Sequential Neural Beamformer Using Coarsely-separated and Non-separated Signals. K Saijo, T Ogawa INTERSPEECH, 251-255, 2022 | 3 | 2022 |
Remixing-based Unsupervised Source Separation from Scratch K Saijo, T Ogawa arXiv preprint arXiv:2309.00376, 2023 | 2 | 2023 |
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 | 1 | 2024 |
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 |
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 | 1 | 2023 |
What to Refer and How?-Exploring Handling of Auxiliary Information in Target Speaker Extraction T Hayashi, R Ogino, K Saijo, T Ogawa 2024 Asia Pacific Signal and Information Processing Association Annual …, 2024 | | 2024 |
Task-Aware Unified Source Separation K Saijo, J Ebbers, FG Germain, G Wichern, JL Roux arXiv preprint arXiv:2410.23987, 2024 | | 2024 |
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 |