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Kohei Saijo
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2020 – today
- 2024
- [c11]Xuankai Chang, Brian Yan, Kwanghee Choi, Jee-Weon Jung, Yichen Lu, Soumi Maiti, Roshan S. Sharma, Jiatong Shi, Jinchuan Tian, Shinji Watanabe, Yuya Fujita, Takashi Maekaku, Pengcheng Guo, Yao-Fei Cheng, Pavel Denisov, Kohei Saijo, Hsiu-Hsuan Wang:
Exploring Speech Recognition, Translation, and Understanding with Discrete Speech Units: A Comparative Study. ICASSP 2024: 11481-11485 - [c10]Kohei Saijo, Gordon Wichern, François G. Germain, Zexu Pan, Jonathan Le Roux:
TF-Locoformer: Transformer with Local Modeling by Convolution for Speech Separation and Enhancement. IWAENC 2024: 205-209 - [i12]Wangyou Zhang, Kohei Saijo, Jee-weon Jung, Chenda Li, Shinji Watanabe, Yanmin Qian:
Beyond Performance Plateaus: A Comprehensive Study on Scalability in Speech Enhancement. CoRR abs/2406.04269 (2024) - [i11]Wangyou Zhang, Robin Scheibler, Kohei Saijo, Samuele Cornell, Chenda Li, Zhaoheng Ni, Anurag Kumar, Jan Pirklbauer, Marvin Sach, Shinji Watanabe, Tim Fingscheidt, Yanmin Qian:
URGENT Challenge: Universality, Robustness, and Generalizability For Speech Enhancement. CoRR abs/2406.04660 (2024) - [i10]Kohei Saijo, Gordon Wichern, François G. Germain, Zexu Pan, Jonathan Le Roux:
Enhanced Reverberation as Supervision for Unsupervised Speech Separation. CoRR abs/2408.03438 (2024) - [i9]Kohei Saijo, Gordon Wichern, François G. Germain, Zexu Pan, Jonathan Le Roux:
TF-Locoformer: Transformer with Local Modeling by Convolution for Speech Separation and Enhancement. CoRR abs/2408.03440 (2024) - [i8]Kohei Saijo, Janek Ebbers, François G. Germain, Sameer Khurana, Gordon Wichern, Jonathan Le Roux:
Leveraging Audio-Only Data for Text-Queried Target Sound Extraction. CoRR abs/2409.13152 (2024) - [i7]Kohei Saijo, Janek Ebbers, François G. Germain, Gordon Wichern, Jonathan Le Roux:
Task-Aware Unified Source Separation. CoRR abs/2410.23987 (2024) - 2023
- [c9]Kohei Saijo, Wangyou Zhang, Zhong-Qiu Wang, Shinji Watanabe, Tetsunori Kobayashi, Tetsuji Ogawa:
A Single Speech Enhancement Model Unifying Dereverberation, Denoising, Speaker Counting, Separation, And Extraction. ASRU 2023: 1-6 - [c8]Wangyou Zhang, Kohei Saijo, Zhong-Qiu Wang, Shinji Watanabe, Yanmin Qian:
Toward Universal Speech Enhancement For Diverse Input Conditions. ASRU 2023: 1-6 - [c7]Kohei Saijo, Tetsuji Ogawa:
Self-Remixing: Unsupervised Speech Separation VIA Separation and Remixing. ICASSP 2023: 1-5 - [c6]Kohei Saijo, Tetsuji Ogawa:
Remixing-based Unsupervised Source Separation from Scratch. INTERSPEECH 2023: 1678-1682 - [i6]Kohei Saijo, Tetsuji Ogawa:
Remixing-based Unsupervised Source Separation from Scratch. CoRR abs/2309.00376 (2023) - [i5]Xuankai Chang, Brian Yan, Kwanghee Choi, Jee-Weon Jung, Yichen Lu, Soumi Maiti, Roshan S. Sharma, Jiatong Shi, Jinchuan Tian, Shinji Watanabe, Yuya Fujita, Takashi Maekaku, Pengcheng Guo, Yao-Fei Cheng, Pavel Denisov, Kohei Saijo, Hsiu-Hsuan Wang:
Exploring Speech Recognition, Translation, and Understanding with Discrete Speech Units: A Comparative Study. CoRR abs/2309.15800 (2023) - [i4]Wangyou Zhang, Kohei Saijo, Zhong-Qiu Wang, Shinji Watanabe, Yanmin Qian:
Toward Universal Speech Enhancement for Diverse Input Conditions. CoRR abs/2309.17384 (2023) - [i3]Kohei Saijo, Wangyou Zhang, Zhong-Qiu Wang, Shinji Watanabe, Tetsunori Kobayashi, Tetsuji Ogawa:
A Single Speech Enhancement Model Unifying Dereverberation, Denoising, Speaker Counting, Separation, and Extraction. CoRR abs/2310.08277 (2023) - 2022
- [c5]Kohei Saijo, Tetsuji Ogawa:
Remix-Cycle-Consistent Learning on Adversarially Learned Separator for Accurate and Stable Unsupervised Speech Separation. ICASSP 2022: 4373-4377 - [c4]Kohei Saijo, Robin Scheibler:
Independence-based Joint Dereverberation and Separation with Neural Source Model. INTERSPEECH 2022: 236-240 - [c3]Kohei Saijo, Robin Scheibler:
Spatial Loss for Unsupervised Multi-channel Source Separation. INTERSPEECH 2022: 241-245 - [c2]Kohei Saijo, Tetsuji Ogawa:
Unsupervised Training of Sequential Neural Beamformer Using Coarsely-separated and Non-separated Signals. INTERSPEECH 2022: 251-255 - [i2]Kohei Saijo, Tetsuji Ogawa:
Remix-cycle-consistent Learning on Adversarially Learned Separator for Accurate and Stable Unsupervised Speech Separation. CoRR abs/2203.14080 (2022) - [i1]Kohei Saijo, Tetsuji Ogawa:
Self-Remixing: Unsupervised Speech Separation via Separation and Remixing. CoRR abs/2211.10194 (2022) - 2021
- [c1]Kohei Saijo, Kazuhiro Katagiri, Masaru Fujieda, Tetsunori Kobayashi, Tetsuji Ogawa:
Comparative Study on DNN-based Minimum Variance Beamforming Robust to Small Movements of Sound Sources. APSIPA ASC 2021: 603-607
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