Presentation 2021-03-04
A Proposed Method of Loud Boat Prediction with Boat type by Boat Noise Using CNN
Haruki Yamaguchi, Kenji Muto, Yosuke Kobayashi,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) One of a canal, some boats generate loud sound reaching the noise level of 70 dB inside houses. We have proposed a system to inform approaching boat that the system utilized psychological effect to reduce the loudness impression of boat noise. It discussed the method to obtain the boat type from environmental noise. Previous study shows that the model to extract the boat noises exceeding the threshold in the environmental sound and boat type recognition model by trained on a Convolutional Neural Network. In this paper, we showed the prediction method using the logical product of these models and its results.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Boat Noise / Boat Type Recognition / Environmental Sound Recognition / Noise Prediction / CNN
Paper # SIS2020-38
Date of Issue 2021-02-25 (SIS)

Conference Information
Committee SIS
Conference Date 2021/3/4(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Online
Topics (in Japanese) (See Japanese page)
Topics (in English) Soft Computing, etc.
Chair Noriaki Suetake(Yamaguchi Univ.)
Vice Chair Tomoaki Kimura(Kanagawa Inst. of Tech.) / Naoto Sasaoka(Tottori Univ.)
Secretary Tomoaki Kimura(Kindai Univ.) / Naoto Sasaoka(National Inst. of Tech., Ube College)
Assistant Yukihiro Bandoh(NTT) / Soh Yoshida(Kansai Univ.)

Paper Information
Registration To Technical Committee on Smart Info-Media Systems
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Proposed Method of Loud Boat Prediction with Boat type by Boat Noise Using CNN
Sub Title (in English)
Keyword(1) Boat Noise
Keyword(2) Boat Type Recognition
Keyword(3) Environmental Sound Recognition
Keyword(4) Noise Prediction
Keyword(5) CNN
1st Author's Name Haruki Yamaguchi
1st Author's Affiliation Shibaura Institute of Technology(Shibaura Inst. Tech.)
2nd Author's Name Kenji Muto
2nd Author's Affiliation Shibaura Institute of Technology(Shibaura Inst. Tech.)
3rd Author's Name Yosuke Kobayashi
3rd Author's Affiliation Muroran Institute of Technology(Muroran Inst. Tech.)
Date 2021-03-04
Paper # SIS2020-38
Volume (vol) vol.120
Number (no) SIS-415
Page pp.pp.15-20(SIS),
#Pages 6
Date of Issue 2021-02-25 (SIS)