Kohei Saijo

According to our database, Kohei Saijo authored at least 10 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

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

CoRR, 2023

Remixing-based Unsupervised Source Separation from Scratch.

Kohei Saijo, Tetsuji Ogawa

CoRR, 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 Interspeech 2022, 2022

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

Kohei Saijo, Robin Scheibler

Proceedings of the Interspeech 2022, 2022

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

Kohei Saijo, Tetsuji Ogawa

Proceedings of the Interspeech 2022, 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