Rchr
J-GLOBAL ID:200901065512630572   Update date: Nov. 23, 2024

Muto Kenji

ムトウ ケンジ | Muto Kenji
Affiliation and department:
Research field  (2): Communication and network engineering ,  Human interfaces and interactions
Research theme for competitive and other funds  (11):
  • 2017 - 2020 Decision support by presence-based collaborative environment and concept maps for disaster traning
  • 2013 - 2016 Immersive presentation environment for decision-making training in disaster prevention and scenario preparation support by concept map
  • 2010 - 2012 The development of the ear protector for the patient which considered transmission path of acoustic noise of magnetic resonance imaging equipment
  • 2009 - 2011 Development of remote communication support system for improving the discussion quality in international educational collaboration
  • 2005 - 2007 Study on communication support to smooth international education exchanges
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Papers (102):
  • Leo Misono, Kenji Muto. Frequency characteristics of courtship song of large brown cicada in Tokyo 2024. Acoustical Science and Technology. 2025
  • Leo Misono, Kenji Muto. Frequency characteristics of the A-weighted sound pressure level of robust cicada climax sound. Acoustical Science and Technology. 2024
  • Leo Misono, Kenji Muto. Statistical analysis of A-weighted sound pressure level for courtship song of robust cicada in Tokyo 2023. The 16th InternationalConference on Genetic and Evolutionary Computing. 2024. 1-10
  • Leo Misono, Kenji Muto. Correlation analysis between sound and physical characteristics of robust cicada in Tokyo 2023. Proc. of ICSV30. 2024
  • Leo Misono, Kenji Muto. Similarity analysis between a robust cicada song and a human voice using formant frequency ratios. 2024 RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing. 2024. 149-152
more...
MISC (292):
  • WAKAMATSU Kanade, MUTO Kenji, KOBAYASHI Yosuke. Influence of Breath Noise on Voice Detection with Bone Conduction Microphone in MRI-Scanner Noise. The Japanese Journal of Ergonomics. 2022. 58. Supplement. 1D4-02-1D4-02
  • NIWAYAMA Kohei, MUTO Kenji, KOBAYASHI Yosuke. An Analysis of Effective Acoustic Features for Detecting Noisy Boat using Environmental Sounds. The Japanese Journal of Ergonomics. 2022. 58. Supplement. 1D4-03-1D4-03
  • 庭山耕平, 武藤憲司, 小林洋介. Comparison of Training Data with Sound and Video for Boat Detection using Convolutional Neural Network. 日本音響学会研究発表会講演論文集(CD-ROM). 2022. 2022
  • 庭山耕平, 武藤憲司, 小林洋介. A Study of Effectiveness to Learn Time Series Information Using CRNN for Boat Detection. 電子情報通信学会大会講演論文集(CD-ROM). 2022. 2022
  • 河井薫, 武藤憲司. Differences in Direction of Lateral Auditory Stimuli on Measurement of Discrimination Angle between Auditory and Visual Stimuli Using HMD. 日本音響学会研究発表会講演論文集(CD-ROM). 2022. 2022
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Lectures and oral presentations  (199):
  • Experimental simulation of active noise control system using window-speaker for boat noise
    (The 49th International Congress and Exposition on Noise Control Engineering 2020)
  • A study on the relationship between speed of sound image and evaluation value of moving sound image
    (23rd International Congress on Acoustics 2019)
  • Detection of Boat Noise by a Convolutional Neural Network for a Boat Information System
    (23rd International Congress on Acoustics 2019)
  • Construction of IIR Filter for Adaptive Noise Control System of Boat Noise Reduction
    (23rd International Congress on Acoustics 2019)
  • Effect of Visual Information Presented on a Cellphone on Subjective Evaluation of Boat Noise
    (2018 IEEE 7th Global Conference on Consumer Electronics, GCCE 2018 2018)
more...
Education (3):
  • 1996 - 1999 Tohoku University Graduate School of Information Sciences
  • 1991 - 1993 Shibaura Institute of Technology Graduate School of Engineering
  • 1987 - 1991 Shibaura Institute of Technology College of Engineering
Awards (1):
  • 2024/08 - The 16th International Conference On Genetic and Evolutionary Computing Best Paper Award Statistical analysis of A-weighted sound pressure level for courtship song of robust cicada in Tokyo 2023
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