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Kohei Saijo
Kohei Saijo
Verifierad e-postadress på pcl.cs.waseda.ac.jp - Startsida
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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
372024
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
192023
Spatial Loss for Unsupervised Multi-channel Source Separation
K Saijo, R Scheibler
arXiv preprint arXiv:2204.00210, 2022
182022
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
92022
Self-Remixing: Unsupervised Speech Separation VIA Separation and Remixing
K Saijo, T Ogawa
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023
82023
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
42024
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
42024
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
42023
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
32024
PARIS: Pseudo-AutoRegressIve Siamese Training for Online Speech Separation
Z Pan, G Wichern, FG Germain, K Saijo, J Le Roux
Proc. Interspeech, 2024
32024
Unsupervised Training of Sequential Neural Beamformer Using Coarsely-separated and Non-separated Signals.
K Saijo, T Ogawa
INTERSPEECH, 251-255, 2022
32022
Remixing-based Unsupervised Source Separation from Scratch
K Saijo, T Ogawa
arXiv preprint arXiv:2309.00376, 2023
22023
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
12024
Enhanced Reverberation as Supervision for Unsupervised Speech Separation
K Saijo, G Wichern, FG Germain, Z Pan, JL Roux
arXiv preprint arXiv:2408.03438, 2024
12024
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
12023
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
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Artiklar 1–20