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

Show all

Papers (100)：

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. 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
Naoya Nakajima, Kenji Muto. Improvement of room sound environment for active window vibration control simulator avoiding the impact of reflected waves. 2024 RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing. 2024. 403-406
御園玲央, 武藤憲司. ミンミンゼミの鳴き声の高潮音の音圧レベル測定. 日本音響学会誌. 2024. 80. 2. 61-64

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

ｍore...

Lectures and oral presentations (198)：

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)：

※ Researcher’s information displayed in J-GLOBAL is based on the information registered in researchmap. For details, see here.

Return to Previous Page