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Naoyuki Kamo
Naoyuki Kamo
Shanghai Jiao Tong University
Computer science
Speech recognition
End-to-end principle
separation
Source separation
4
Papers
73
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ESPnet-SE: End-To-End Speech Enhancement and Separation Toolkit Designed for ASR Integration
2021
SLT | Spoken Language Technology Workshop
Chenda Li
Jing Shi
Wangyou Zhang
Aswin Shanmugam Subramanian
Xuankai Chang
Naoyuki Kamo
Moto Hira
Tomoki Hayashi
Christoph Boeddeker
Zhuo Chen
Shinji Watanabe
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Citations (12)
End-to-End Dereverberation, Beamforming, and Speech Recognition with Improved Numerical Stability and Advanced Frontend
2021
ICASSP | International Conference on Acoustics, Speech, and Signal Processing
Wangyou Zhang
Christoph Boeddeker
Shinji Watanabe
Tomohiro Nakatani
Marc Delcroix
Keisuke Kinoshita
Tsubasa Ochiai
Naoyuki Kamo
Reinhold Haeb-Umbach
Yanmin Qian
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Citations (8)
Recent Developments on Espnet Toolkit Boosted By Conformer
2021
ICASSP | International Conference on Acoustics, Speech, and Signal Processing
Pengcheng Guo
Florian Boyer
Xuankai Chang
Tomoki Hayashi
Yosuke Higuchi
Hirofumi Inaguma
Naoyuki Kamo
Chenda Li
Daniel Garcia-Romero
Jiatong Shi
Jing Shi
Shinji Watanabe
Kun Wei
Wangyou Zhang
Yuekai Zhang
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Citations (47)
Convolutive Transfer Function Invariant SDR Training Criteria for Multi-Channel Reverberant Speech Separation
2021
ICASSP | International Conference on Acoustics, Speech, and Signal Processing
Christoph Böddeker
Wangyou Zhang
Tomohiro Nakatani
Keisuke Kinoshita
Tsubasa Ochiai
Marc Delcroix
Naoyuki Kamo
Yanmin Qian
Shinji Watanabe
Reinhold Haeb-Umbach
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Citations (6)
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