Effect of frequency weighting on MLP-based speaker canonicalization. - Yuichi Kubota; Motoi Omachi; Tetsuji Ogawa; Tetsunori Kobayashi; Tsuneo Nitta (INTERSPEECH, 2014)

Separation matrix optimization using associative memory model for blind source separation. - Motoi Omachi; Tetsuji Ogawa; Tetsunori Kobayashi; Masaru Fujieda; Kazuhiro Katagiri (EUSIPCO, 2015)

Associative Memory Model-Based Linear Filtering and Its Application to Tandem Connectionist Blind Source Separation. - Motoi Omachi; Tetsuji Ogawa; Tetsunori Kobayashi (IEEE ACM Trans. Audio Speech Lang. Process., 2017)

Multi Scale Feedback Connection for Noise Robust Acoustic Modeling. - Dung T. Tran; Ken-ichi Iso; Motoi Omachi; Yuya Fujita (ICASSP, 2018)

Speaker Selective Beamformer with Keyword Mask Estimation. - Yusuke Kida; Dung T. Tran; Motoi Omachi; Toru Taniguchi; Yuya Fujita (SLT, 2018)

Attention-Based ASR with Lightweight and Dynamic Convolutions. - Yuya Fujita; Aswin Shanmugam Subramanian; Motoi Omachi; Shinji Watanabe 001 (ICASSP, 2020)

End-to-End ASR with Adaptive Span Self-Attention. - Xuankai Chang; Aswin Shanmugam Subramanian; Pengcheng Guo; Shinji Watanabe 001; Yuya Fujita; Motoi Omachi (INTERSPEECH, 2020)

Insertion-Based Modeling for End-to-End Automatic Speech Recognition. - Yuya Fujita; Shinji Watanabe 001; Motoi Omachi; Xuankai Chang (INTERSPEECH, 2020)

Toward Streaming ASR with Non-Autoregressive Insertion-Based Model. - Yuya Fujita; Tianzi Wang; Shinji Watanabe 001; Motoi Omachi (Interspeech, 2021)

End-to-end ASR to jointly predict transcriptions and linguistic annotations. - Motoi Omachi; Yuya Fujita; Shinji Watanabe 001; Matthew Wiesner (NAACL-HLT, 2021)

Non-Autoregressive End-To-End Automatic Speech Recognition Incorporating Downstream Natural Language Processing. - Motoi Omachi; Yuya Fujita; Shinji Watanabe 001; Tianzi Wang (ICASSP, 2022)

Align, Write, Re-Order: Explainable End-to-End Speech Translation via Operation Sequence Generation. - Motoi Omachi; Brian Yan; Siddharth Dalmia; Yuya Fujita; Shinji Watanabe 001 (ICASSP, 2023)