Kohei Saijo

According to our database, Kohei Saijo authored at least 16 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Task-Aware Unified Source Separation.

Kohei Saijo, Janek Ebbers, François G. Germain, Gordon Wichern, Jonathan Le Roux

CoRR, 2024

Leveraging Audio-Only Data for Text-Queried Target Sound Extraction.

Kohei Saijo, Janek Ebbers, François G. Germain, Sameer Khurana, Gordon Wichern, Jonathan Le Roux

CoRR, 2024

Enhanced Reverberation as Supervision for Unsupervised Speech Separation.

Kohei Saijo, Gordon Wichern, François G. Germain, Zexu Pan, Jonathan Le Roux

CoRR, 2024

URGENT Challenge: Universality, Robustness, and Generalizability For Speech Enhancement.

Wangyou Zhang, Robin Scheibler, Kohei Saijo, Samuele Cornell, Chenda Li, Zhaoheng Ni, Anurag Kumar, Jan Pirklbauer, Marvin Sach, Shinji Watanabe, Tim Fingscheidt, Yanmin Qian

CoRR, 2024

Beyond Performance Plateaus: A Comprehensive Study on Scalability in Speech Enhancement.

Wangyou Zhang, Kohei Saijo, Jee-weon Jung, Chenda Li, Shinji Watanabe, Yanmin Qian

CoRR, 2024

TF-Locoformer: Transformer with Local Modeling by Convolution for Speech Separation and Enhancement.

Kohei Saijo, Gordon Wichern, François G. Germain, Zexu Pan, Jonathan Le Roux

Proceedings of the 18th International Workshop on Acoustic Signal Enhancement, 2024

Exploring Speech Recognition, Translation, and Understanding with Discrete Speech Units: A Comparative Study.

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

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Remixing-based Unsupervised Source Separation from Scratch.

Kohei Saijo, Tetsuji Ogawa

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Self-Remixing: Unsupervised Speech Separation VIA Separation and Remixing.

Kohei Saijo, Tetsuji Ogawa

Proceedings of the IEEE International Conference on Acoustics, 2023

Toward Universal Speech Enhancement For Diverse Input Conditions.

Wangyou Zhang, Kohei Saijo, Zhong-Qiu Wang, Shinji Watanabe, Yanmin Qian

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2023

A Single Speech Enhancement Model Unifying Dereverberation, Denoising, Speaker Counting, Separation, And Extraction.

Kohei Saijo, Wangyou Zhang, Zhong-Qiu Wang, Shinji Watanabe, Tetsunori Kobayashi, Tetsuji Ogawa

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2023

2022

Spatial Loss for Unsupervised Multi-channel Source Separation.

Kohei Saijo, Robin Scheibler

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Independence-based Joint Dereverberation and Separation with Neural Source Model.

Kohei Saijo, Robin Scheibler

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Unsupervised Training of Sequential Neural Beamformer Using Coarsely-separated and Non-separated Signals.

Kohei Saijo, Tetsuji Ogawa

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Remix-Cycle-Consistent Learning on Adversarially Learned Separator for Accurate and Stable Unsupervised Speech Separation.

Kohei Saijo, Tetsuji Ogawa

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Comparative Study on DNN-based Minimum Variance Beamforming Robust to Small Movements of Sound Sources.

Kohei Saijo, Kazuhiro Katagiri, Masaru Fujieda, Tetsunori Kobayashi, Tetsuji Ogawa

Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2021